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Overview: The article highlights the key components of the Internet of Things in smart agriculture applications, such as data collection, integration across multiple tiers, and implementation of IoT devices in agricultural practices. The rapid advancement of agricultural technology has led to the introduction of the Internet of Things (IoT) as a crucial component of modern agricultural systems. IoT-enabled wireless sensor networks (WSNs) have quickly progressed in a number of agricultural fields. What is the Internet of Things?The IoT is a network that facilitates seamless communication between physical systems, machines, sensors, and other devices without the need for human interaction. Key Components of the Internet of Things in AgricultureSome of the key components that make up the IoT areActionAutomationUser interfaceUser interactionSensorsDevicesConnections Introduction to Smart Agriculture and IoTThe above-mentioned components collect agricultural yield data so that farmers can make well-informed decisions. Furthermore, these components are interconnected across multiple tiers of IoT systems utilized for smart agriculture (SA) applications. Challenges in Implementing IoT in AgricultureHowever, because of the large potential scale and unique requirements - like soil conditions, weather dynamics, and regional variations - choosing an architecture for SA is difficult. Furthermore, careful work is required to incorporate IoT devices and systems into agricultural practices. To achieve seamless interoperability and integration, these activities involve investing in IoT devices and using several protocols and standards. The huge amount of data generated by sensors and devices in agricultural IoT installations makes real-time data management, processing, and analysis more difficult. Importance of Choosing the Right IoT ArchitectureThe framework that is chosen for this reason should efficiently facilitateRobust analytical capabilitiesEffective processingStorage of structured data In the agricultural sector, accurate and up-to-date records are very important. It must be able to continue collecting and processing data continuously, even in the face of unfavorable environmental conditions or network connectivity issues. However, it is crucial to make sure that the planned architectural elements, functionality, and allocated funds are all balanced. This is particularly important for small-scale farmers or groups with little funding. At a time when IoT technologies are changing quickly, it's important to stress how important it is to choose an architecture that can be updated. This design should include new technologies and standards, which will make sure that the IoT-based SA system stays useful and effective over time. By stressing the importance of this strategy choice, the system will continue to be useful and effective. Layers of IoT FrameworkDepending on the application, several approaches are used to implement different IoT technology architectures. This leads to different patterns of planning and deployment. Rather, it needs to be customized to meet certain requirements. For SA applications, architecture is typically organized into a framework with three, four, and five levels. IoT design is usually broken down into three to five layers. The three main layers of the SA applications shown in Fig. 1 areThe perception layerThe connectivity layerApplication layer  In the IoT architecture, these layers are also referred to as the lower layer. In addition, the other levels areThe middleware andProcessing layers The main and major layers of the SA system's IoT architecture are discussed in this article. Perception LayerA key element of the IoT architecture is the perception layer, sometimes referred to as the physical layer. It functions as a reliable interface that permits suitable communication between the digital and physical worlds. The purpose of this layer is to quickly gather various types of data from sensors and devices. It includes important environmental factors, such as humidity, wind speed, and weather. For instance, researchers used an ultrasonic water level gauge to determine the irrigation system's water level using smart technology. Due to complicated requirements during crop and environmental monitoring, particularly in unfavorable situations, the perception layer inside the SA application provides typical challenges. It is very important to improve the energy and communication infrastructure in agricultural areas. However, connecting IoT nodes with wired power and communication channels is not practical and cost-effective. Data gathering procedures have advanced, incorporating a range of instruments. For instance, sensors and cameras send data to the central gateway via Bluetooth or wireless networks, and short-distance wired communication techniques. The sensor layer uses the right tools to turn biological data into information that can be accessed on the web. This is an important step in controlling the network. Connectivity LayerThe communication layer, also known as the network and transport layer, is the core of IoT architectures, enabling continuous communication and data transmission between various devices. To make IoT networks work better, you need to know a lot about how the communication layer works. This will help them be scalable, resilient, and safe for sending and receiving data. This will also help IoT technologies be used in more areas. This layer, which serves as the foundation of the entire system, transmits data from the perception layer to the application levels. The core elements are the data transmission channels, which can be wired or wireless, and short- or long-range techniques. These channels make good use of wireless sensors and network infrastructure. It is very important to get data transmission to work consistently and reliably, especially since there is a lot of interference in farming production and the weather changes often, which are constant problems for this technology. Application LayerIoT has completely transformed the SA system, radically revolutionizing the methodologies used in agriculture and agribusiness. The IoT application layer is at the heart of this change. It controls how IoT apps work and how smart they are, especially in smart farming. This layer facilitates the integration of data from various sensors and devices in agricultural environments, allowing for in-depth analysis and well-informed decision-making. The utilization of advanced technology at this layer, such as machine learning algorithms and predictive analytics, facilitates precision farming by optimizing the allocation of resources, managing crops efficiently, and promoting sustainable agricultural practices. The application layer is responsible for processing information and making important decisions. With the help of data analysis from the connection layer, it closely combines IoT technology with farming. Additionally, it is equipped with the necessary tools to effectively manage situational awareness. As crop data and climate change become more complicated, technology becomes increasingly important for finding problems in the farm production process that meet user needs. Summarizing the Key PointsThe IoT revolutionizes agriculture through wireless sensor networks, enabling seamless communication and data collection for informed decision-making.    ReferenceMowla, Md. Najmul, Neazmul Mowla, A. F. M. Shahen Shah, Khaled M. Rabie, and Thokozani Shongwe. “Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey.” IEEE Access 11 (2023): 145813–52. https://doi.org/10.1109/access.2023.3346299.

IoT, in its ever-evolving domain, characterized by the interconnectedness of devices that continually transform our technological environment, faces a crucial decision in selecting between Bluetooth and Wi-Fi as wireless communication technologies. With the increasing popularity of networked devices, wireless communication technologies play an even more crucial role in ensuring seamless interoperability amongst these connected systems. Three major wireless communication standards come from the IoT framework: Wi-Fi, ZigBee, Bluetooth, etc. Among these, Wi-Fi and Bluetooth have become the methods of preference for a substantial section of consumers. The WIFI Alliance regulates Wi-Fi, which is one of the essential elements in wireless network communication technology. This strength lies in a good platform for high data speed transmission and internet connectivity, ensuring that it becomes imperative in situations where the bandwidth or data transfer rates are vital. On the other hand, Bluetooth, under the leadership of the Bluetooth Technology Alliance, portrays itself as an adaptable communication protocol. Its ability to wirelessly connect a wide variety of devices makes it an attractive option for many IoT applications. x With the evolving boundaries of IoT, choosing between Bluetooth and Wi-Fi becomes a critical aspect as both technologies provide different benefits and scenarios. Technical BackgroundThe technical differences between Bluetooth and Wi-Fi determine which to use. Wi-Fi, which uses IEEE 802.11 standards, is known for its high data transmission rates, making it perfect for bandwidth-intensive applications that require speed and connectivity. Bluetooth, which adheres to the IEEE 802.15.1 standard, excels in short-range communication settings due to its low power consumption, making it an attractive option for energy-efficient IoT devices. Wi-Fi typically operates in the 2.4 GHz and 5 GHz frequency bands, offering high data rates but potentially higher power consumption. In contrast, Bluetooth, utilizing the 2.4 GHz band, prioritizes low-power communication, proving advantageous for applications like smart home devices and wearables. Wi-Fi's strengths lie in scenarios demanding rapid data transfer and robust internet connectivity, while Bluetooth shines in applications where conserving power and forming short-range connections are paramount. Whether deploying IoT solutions in industrial automation or smart homes, a clear grasp of the technical disparities between Bluetooth and Wi-Fi is essential for optimizing connectivity based on specific requirements. This exploration aims to elucidate these technical differentiators, enabling informed decisions regarding the application of Bluetooth or Wi-Fi in diverse IoT scenarios. Application Scenario ComparisonThe following is the application scenario comparison that provides insights into the distinctive strengths of Bluetooth and Wi-Fi, aiding decision-makers in selecting the most suitable wireless technology for specific IoT use cases. Smart HomesBluetooth: Good enough for smart home appliances requiring low power and short-range communications; therefore, devices such as thermostats, light bulbs, or security systems can be connected smoothly with ease.Wi-Fi: Suited for high-speed applications in a smart home, giving a reliable internet connection. Suitable for devices that require continuous data transmission, like smart cameras and media streaming units. Wearable TechnologyBluetooth: It also thrives in the wearable space because of its energy efficiency and ability to form fast, spontaneous connections. Many fitness trackers, smartwatches, and health monitoring devices use it.Wi-Fi: Nor as feasible for wearables because of increased power consumption and the fact that it is not ideal in terms of battery lifespan. Industrial IoT (IIoT)Bluetooth: Effective for short messaging in industrial operations, linking sensors up, and keeping tabs on the equipment. Being low-power, it is suitable for battery-operated devices.Wi-Fi: Ideal for IIoT applications requiring large data rates and connectivity in larger areas. Widely adopted in industrial automation and remote monitoring. HealthcareBluetooth: Mostly popular with medical equipment such as glucose monitors and wearable health trackers. Patient monitoring systems benefit from its low-power features and trustworthy short-range connectivity.Wi-Fi: Deployed in health care environments for large data applications like medical imaging and centralized patient records, with high bandwidth critical. Retail and Beacon Technology Bluetooth: Prominent in retail when using beacon technology that allows proximity-based marketing and customer engagement. Bluetooth Beacons provide a highly efficient means of smartphone communication to allow for personalized shopping.Wi-Fi: Uncommon with higher power consumption but can be used to have broader connectivity in large retail spaces. Overall ConsiderationsBluetooth: Better in low-power applications for short-ranged links and fast device bonding. It is very appropriate for the IoT application that emphasizes energy efficiency.Wi-fi: It is ideal for fast data communications and stable internet connections and supports multiple device connectivity. It is suitable when power consumption is not a really important factor. Performance Metrics ComparisonBluetooth and wi-fi showcase distinct strengths, allowing decision-makers to align their IoT applications as follows:Data Transfer RatesBluetooth: Provides lower data transmission rates for the apps with typical information exchange. Usually between 1-3 Mbps, thus hindering its overall effectiveness in data-intensive tasks.Wi-fi: It is excellent at high-speed transfers; it performs very well, from 20 Mbps to several gigabits per second. It is perfect for applications that need reliable real-time data transfer.RangeBluetooth: Designed for short-range communications, generally up to 100 meters, and thus ideal in close proximity situations such as within a room or the PAN.Wi-fi: Offers a broader reach with a range of around 100 meters and even more; ideal for applications that require connectivity within broad areas like smart houses or industrial complexes.Power ConsumptionBluetooth: Bluetooth is famous for its low power consumption; therefore, it fits in battery-operated devices. Allows for extended device runtime without regular recharging.Wi-fi: Typically, Bluetooth has a higher power consumption than other technologies, negatively affecting devices' battery life. It is better for applications with the availability of a steady power source.Interference and CongestionBluetooth: It works at the 2.4 GHz frequency with high interference from other devices operating on this specific band, but the frequency hopping prevents potential problems.Wi-fi: Works on 2.4 and 5 GHz frequencies, with more channels to minimize interference. However, congestion in urban areas can affect performance.Device DensityBluetooth: Very efficient in connecting a moderate range of devices within small spaces; hence, appropriate for applications such as personal use and IoT where the number of connections is limited.Wi-fi: Since wi-fi can handle a more significant number of devices simultaneously, it is particularly suitable for environments with many connected devices around us (like an office or public place). Integration and Compatibility IssuesBluetooth IntegrationSeamless Device Pairing: Bluetooth is a leading software feature due to its ease of connecting devices. This simplicity makes it a preferred option for IoT applications because of the need to establish fast and straightforward connections. Compatibility across Devices: The standardized protocol made by Bluetooth allows compatibility between numerous devices; interoperability and ease of integration for the IoT ecosystem are promoted through this.Wi-fi IntegrationNetwork Complexity: Wi-fi is high-speed but needs more complicated network settings. However, this complexity comes with challenges in some IoT networks, necessitating appropriate network planning for better performance.Compatibility Challenges: Wi-fi devices may face compatibility issues due to standard variations (e.g., 802.11ac vs. 802.11n) and security protocols. Ensuring uniformity across devices is crucial for seamless integration.Cross-Platform ConsiderationsBluetooth: Introduced features like BLE enrich the cross-platform representation and allow for communication between diverse operating systems and products. The multifaceted nature of IoT works very well in many different ways.Wi-fi: Cross-platform compatibility is usually robust, although the wi-fi specification differences can create some issues. Consistent implementation of the standards is vital to ensure seamless integration across the varied devices.Security ProtocolsBluetooth: Include security measures such as pairing codes and encryption to protect communication. However, in some cases, it is necessary to use other security measures along with this method.Wi-fi: Provides many robust security mechanisms, such as WPA3 encryption. Still, weaknesses like the KRACK attack highlight that ongoing security patches and vigilance are essential.Application SpecificityBluetooth: The ideal choice for applications that need simplicity and fast connections, like wearable devices or even smart home technologies. In simple device diversity cases, the integration is usually very straightforward.Wi-fi: Thrives in applications requiring high-speed data transfer and internet connection and takes on more complex IoT cases. Optimal performance requires careful integration planning. Technical Challenges and LimitationsWhile Bluetooth and wi-fi provide different benefits to IoT applications, they also introduce specific technical challenges related to their associated limitations.BluetoothLimited Range: In applications that need a broader range of communication, up to 100 meters, Bluetooth's range may create a limitation. This may require some additional installation of the access points or mesh networks to expand the radius.Data Transfer Speed: While Bluetooth is satisfactory for medium to low-speed data transmission needs, it can fail in applications requiring high-speed rates. Wi-fi is better in that it requires more bandwidth.Interference: The Bluetooth technology falls within the 2.4 GHz band, which means that other devices in the same frequency range may cause interference and unreliable communication caused by weak signals from these instruments. But frequency hopping reduces interference.Device Density: Bluetooth is ideal for connecting many devices in a small environment. It might fail to manage the concurrent connections in a busy environment with many interconnected devices. Wi-fiPower Consumption: One limitation of battery-powered IoT devices is that wi-fi. Energy-efficient design and power management optimization can help address this challenge.Complex Network Configuration: The size of the IoT deployment makes managing a wi-fi network alot more complicated. Coordinated network planning, security, and device compatibility are needed to function at their best.Interference and Congestion: Even though wi-fi has more frequency bands to reduce interference, high-density deployments in urban and enterprise areas can also create network congestion problems, which affect performance.Range vs. Data Rate: Wi-fi data transfer rates are mainly at a range's expense. Such balancing requires detailed attention or even some extra infrastructure in the IoT applications. Future Trends and DevelopmentsBluetooth EvolutionBluetooth Low Energy (BLE): Bluetooth development was BLE that enhances energy efficiency for more IoT applications. Such advancement makes Bluetooth a beautiful replacement for devices with long battery life, including sensors and wearables.Mesh Networking: Bluetooth's mesh networking is a larger-scale deployment for IoT technologies. This evolution allows the devices to operate seamlessly over long distances and creates many new opportunities in the intelligent buildings sector and industrial IoT.Wi-fi AdvancementsWi-fi 6 and Beyond: With the coming of wi-fi 6, which allows for higher data transfer rates and network functioning. The wi-fi standards, however, are on an evolving path that will continue to address the growing bandwidth intensity needs of IoT applications.5G Integration: Including wi-fi in 5G networks has become an important development that has given rise to faster connectivity and data transfer speeds. This synergy opens the doors to many applications requiring real-time data processing and low latency, including augmented reality and autonomy.Coexistence and integrationFuture developments could include using Bluetooth and wi-fi in hybrid solutions, considering both technologies' strengths. By doing so, IoT devices can benefit from the many advantages of low-power Bluetooth and fast wi-fi. Final NoteBy comparing Bluetooth and wi-fi in IoT applications, it is possible to demonstrate the many different merits of these technologies. Bluetooth is characterized by its compactness, low power consumption, and short-range connection. On the contrary, wi-fi has excellent data speed and a wide range. Decision-makers should assess these factors based on their specific needs in IoT.As one can see, waves of innovations will be ongoing, including Bluetooth Low Energy, mesh networking, and wi-fi 6 integration with the fifth generation. However, over time, attention should be given to performance metrics criteria, integration complexity issues, and emerging trends. It is crucial for successfully implementing Bluetooth and wi-fi potential in interconnectivity through IoT.

Overview: This article explores the potential risks associated with cyber attacks on electric vehicles and provides solutions for protecting both in-vehicle and external network vulnerabilities.One of the key technologies that has helped society achieve its high decarbonization and sustainable energy targets over the last decade has been electric vehicles (EVs).What are the elements that make electric vehicles susceptible to security breaches?Efforts are being made to standardize cyber-physical interfaces for both residential and commercial electric vehicles, as these vehicles are prone to vulnerabilities and have social costs.This article examines electric vehicle vulnerabilities resulting from:In-Vehicular VulnerabilitiesController Area Network BusController Area Network (CAN) is a peer-to-peer system that works on an isolated trust model. If an attacker gets into the CAN bus or even just one electronic control unit, they can completely control how the electric vehicle works because the CAN bus security architecture is not protected against malware being put into it.To pursue a desired harmful goal, an attacker with full control could alter, eavesdrop, reverse engineer, spoof, or replay the CAN communications.Every peer that is connected to the CAN bus, such as an electronic control unit or peripheral device, receives messages sent by these devices.Furthermore, in order to minimize memory costs and ensure a prompt transfer of the information, the CAN bus message is neither authenticated nor encrypted. This is critical for time-sensitive electronic control units like the brake control unit.Sending and receiving peer IDs are not included in a message that is sent over the CAN system. Instead, it is sent according to its arbitration ID, which indicates the priority of the message. Due to its low bandwidth, the CAN bus cannot support complex and computationally demanding encryption.On-Board Diagnostic PortFrom this angle, the attacker's main task is to damage the CAN bus. The (on-board diagnostic port) OBD2 port of the CAN bus has been the focus of extensive investigation and has been designated as a critical access point to the CAN bus due to its sizable infiltration surface made possible by both physical and remote vulnerabilities.Many times during an electric vehicle's lifetime, third parties like a mechanic during vehicle maintenance, a valet while parking, and a charging station helper can physically access the OBD2 port.Furthermore, smartphone applications such as the Open Vehicle Monitoring System (OVMS) that are connected to a cellular network or a wireless short-range network can compromise the OBD2 port. Thus, the apps enable remote monitoring and management of the electric vehicle's parts and functions.There have been reports of similar vulnerabilities in FlexRay, LIN, and MOST. If the LIN and MOST were broken into, they would not allow the key attacks listed above. This is because they are not as vulnerable as the CAN and FlexRay. This is so because the LIN is less exposed to external EV networks and the MOST network is limited to non-critical ECUs like the in-vehicular infotainment system.Tire Pressure Monitoring System Another in-vehicular attack vector is the Tire Pressure Monitoring System (TPMS). The technology is susceptible to hacks, which might compromise electric vehicle security and privacy. The tire pressure sensors transmit unencrypted signals; their identification is static 32-bit strings, and their messages lack authentication.Attackers can overhear, reverse engineer, and spoof communications with an electric vehicle within 40 meters because of these security weaknesses. False data injections into the electric vehicle in-vehicular infotainment system and remote tracking of the electric vehicle are the outcomes of the attack.External Network VulnerabilitiesPhysically Accessible PortsIn addition to the OBD2 connector, there are other physical interfaces that are connected and can be utilized to control the electronic control units and external cyber layer. It includes things like USB ports, SD card ports, CD/DVD drives, headphone connectors, touchscreens, and optical media readers.For the in-vehicular infotainment system's software updates, smartphone charging, media playback, and human interface, these ports are frequently physically accessed. When malicious devices are placed into these ports, an attacker can use them to introduce persistent malware into the in-vehicular infotainment system, start a denial-of-service attack, and even act as a side-channel access point to interfere with the operation of other electronic control units.An electric vehicle may come into contact with such a malicious device at several stages of its maintenance and supply chain.Internet Service PortalsThe in-vehicular infotainment system has wireless interfaces (like Bluetooth) for interacting with cellphones in addition to USB connections. Despite being short-range, this pairing is susceptible to cyberattacks.This flaw gives an attacker the ability to infect the in-vehicular infotainment system with malware, prevent its service from working, and take control of smartphones and in-vehicular infotainment data.Malicious smartphone apps that are mirrored in the in-vehicular infotainment dashboard also present data integrity risks to the in-vehicular infotainment system and side-channel threats to the CAN bus.When electric vehicle drivers use different third-party smartphone applications for electric vehicle charging station locating and remote electric vehicle monitoring and control, these vulnerabilities probably present security problems. Moreover, third-party programs that have been installed on the in-vehicular infotainment system may be dangerous or vulnerable to attack.Electric Vehicle Charging StationAn electric vehicle typically connects to an electric vehicle charging station using a CAN bus or the Power Line Communication's wired communication layer. This communication protocol, ISO 15118, is susceptible to cyberattacks.ISO 15118 governs the connection between an electric vehicle and an electric vehicle charging station but does not include any security measures like message certification or end-to-end encryption. It could allow a remote attacker to intercept, alter, and fake the electric vehicle charging message.Radio StationsRemote cyberattacks like spoofing and jamming can affect GPS signals, allowing attackers to supply erroneous geographical information and potentially disable the navigation system in electric vehicles.Long travel distances cause the GPS signals to be relatively faint; as a result, the GPS receiver prefers the attacker-generated stronger signals. Similarly, signals sent to an electric vehicle radio by FM radio stations are susceptible to malware injection and remote spoofing attacks.Road-Side Infrastructure and VehiclesIntelligent and autonomous transportation advancements necessitate the wireless communication of vehicles. The vehicles and roadside units (RSUs) in this futuristic communication architecture, known as the vehicular ad-hoc network (VANET), are connected through LANs or cellular networks.For improved safety, comfort, and efficiency when driving and routing, vehicles communicate with roadside units and other vehicles regarding information on road conditions, traffic, accidents, and vehicle position and speed. Nevertheless, these interfaces make the vehicles' data integrity and privacy more vulnerable to attacks from other networks and devices.By imitating the presence of several virtual vehicles in the network, an attacker may, for instance, conduct a Sybil-type attack on VANET. These fake vehicles have the ability to disrupt the network or propagate false information to roadside units and other linked cars.Original Equipment Manufacturers/VendorsThe original equipment manufacturer and outside suppliers must access electronic control units to provide security patches and software updates. Traditionally, the OBD2 and USB connections have been used to connect actual dongles and USB flash drives for this purpose.These conventional techniques are therefore susceptible to supply chain and maintenance intrusions. Currently, in order to get around the obstacles and expenses related to physical delivery, OEMs and third-party providers are moving to wireless updates.Updates are provided as code or data pictures together with metadata that includes authentication information. As a result, man-in-the-middle cyberattacks, in which an attacker can remotely spy, reject, and modify the update, are possible with wireless software upgrades. An illustration of the multi-level, cyber-physical nexus of electric vehicles, electric vehicle charging stations, and the power grid is shown in Fig. 1.Fig. 1 A schematic diagram of the multi-level, cyber-physical nexus of EVs, EVCSs, and the power grid Source: IEEE AccessSummarizing the Key PointsThe article discusses vulnerabilities in the Controller Area Network bus, Tire Pressure Monitoring System, and other physically accessible ports.ReferenceAcharya, Samrat, Yury Dvorkin, Hrvoje Pandzic, and Ramesh Karri. “Cybersecurity of Smart Electric Vehicle Charging: A Power Grid Perspective.” IEEE Access 8 (2020): 214434–53. https://doi.org/10.1109/access.2020.3041074.

Overview: This article discusses the challenges faced by smart grids. It also briefs on how the Energy Internet and the use of blockchain and IoT technologies are potential solutions to smart grid security challenges. A decade ago, the idea of a "smart grid" was the foundation of bright dreams, now, it's the most talked-about issue in the industry of renewable sources. The smart grid is a multidimensional energy infrastructure idea that can be implemented using a wide range of available technologies. The incorporation of a "smart grid" into today's electrical infrastructure is crucial for the following reasons: What are the challenges faced by smart grids?Skepticism Among Industries First of all, industries are still hesitant about the advancement of smart grid projects. The misconception among industries is that government commitments cannot be fulfilled and that smart grid projects are moving slowly forward. Furthermore, despite the fact that governments fund the creation and testing of smart grid pilot projects, the industries engaged in the installation of these projects have little passion for investing in the technology, which has an impact on the system's development. Security Issues Second, there are numerous security risks and associated difficulties that can affect the architecture and infrastructure of smart grids. Threats and difficulties include terrorism, theft, disasters caused by nature, and cyberattacks. An actual security breach may result inPower outagesA breakdown in the information and technology infrastructureDisruption in the power marketNetwork cascade failureEndanger human safety In summary, issues with technology privacy, permission, and authentication are identified as smart grid security challenges. The Energy Internet may also have similar problems, but using technologies like blockchain and the Internet of Things (IoT) should make security breaches less likely and less harmful, and they should also make recovery easier with little assistance from humans. Decreased Penetration of Electric Vehicle Thirdly, a barrier to the widespread use of electric vehicles in the energy sector is the low market penetration of these vehicles with vehicle-to-grid (V2G) capability. Repeated charging and discharging of the battery is necessary for effective V2G operation, which results in battery deterioration. Even though scientists are optimistic about lithium-ion (LFP) batteries, more study is needed to determine how to maximize the battery life of V2G-enabled vehicles for the technology to be implemented effectively. Complexities Posed by Microgrid Fourth is using micro-grids to improve smart grids. The installation of microgrids with smart grids presents few technological and regulatory hurdles. Inbalanced supply and demand can lead to issues with frequency and voltage in microgrids. When generators are connected and disconnected using a "plug-and-play" feature, these issues may worsen. Variations in the power production from the connected renewable energy systems make it difficult to maintain a steady state for the microgrid. Furthermore, a greater proportion of renewable energy could cause transmission and distribution difficulties in the current network. The incorporation of suitable protection devices becomes essential as the system becomes more complicated. Because micro-grid infrastructure comprises a bi-directional power flow, the protection mechanism differs from standard power systems. Additional information on micro-grid protection schemes should also be considered. Development of Strandards Lastly, it is necessary to address the issues raised by the regulation of communication devices, cyber-security devices, and compatibility and conformity to standards. Countries have assigned various groups the task of creating standards for smart grid interoperability. The design, development, and production of devices that meet international standards is one of the main obstacles to deploying smart grid infrastructure. The Energy Internet The Energy Internet is allegedly able to solve many of the aforementioned problems. It serves as the energy system's forthcoming revolution. It will make it possible to put less focus on large-scale centralized power generation and more on numerous tiny, dispersed generation systems. Government investment in generating facilities may be minimized as a result of prosumers now owning a larger portion of the power generation industry. Households and other small-scale users who can construct local power plants to buy and sell electricity are encouraged to invest via the Energy Internet. By doing this, governmental organizations' investment burden is lessened when they spend on building infrastructure. It provides advanced capabilities to facilitate flawless electricity exchange through the Energy Internet. Current security threats and challenges are addressed when this infrastructure is supported by innovative technologies like blockchain and IoT. However, as technology develops, new security threats are probably going to appear, and ongoing cybersecurity innovations are going to address them. Research in the field of Energy Internet helps optimize storage devices to reduce battery wear. The Energy Internet can also use distributed energy systems management algorithms to best address ongoing smart grid issues brought on by the unpredictable and variable nature of renewable energy systems. Future integration of artificial intelligence (AI) and machine learning (ML) algorithms into the Energy Internet, which provide additional support. Lastly, government agencies must coordinate with other relevant international entities to address the concerns of standardization and interoperability. Energy Internet can fill up the gaps left by the smart grid's shortcomings. Management of Energy Internet Markets The markets for green gas, liquid fuels, and renewable heating in the future will affect the power market. The Energy Internet has the ability to reconfigure itself into a multi-energy system in this regard. A fully operational energy market for the energy cells can be integrated into the Energy Internet architecture. As an illustration, the current electricity exchanges in some countries operate using an auction-based bidding system. This technique works well in static liberalized markets where it is simple to predict the market structure and network architecture. Energy cells that are integrated with the Energy Internet, however, are diverse in character and have competing objectives. Auction-based bidding might not be an effective market mechanism given this feature. Game-Theoretical Algorithms A real-time power price that reflects the dynamic supply and demand balance is one potential option. The selection of game-theoretical algorithms to establish an appropriate real-time pricing mechanism for trading among energy cells on the Energy Internet is one suitable option. Game theory models have been used to examine studies that deal with disagreements involving interactive decision-makers. In recent years, the scalability of game-theoretic algorithms has facilitated their widespread use in energy market design. The mathematical model for the day-ahead market for the competitive energy cells was developed using the Nikaido-Isoda function (NIRA) and the Relaxation algorithm. For more than three decades, businesses have relied on a specific group of numerical algorithms known as relaxation algorithms. Earlier efforts in the relaxation method greatly illustrate the technique's quick convergence and reasonable accuracy. The bilateral Shapley value and kernel are used to make sure that profits are shared fairly among consumers who work together. Blockchain Technology Virtually anything of value can be recorded in the blockchain, an uncorruptible digitally distributed ledger of economic transactions. The shared ledger that is published to every member is the foundation of how blockchain technology operates, as shown in Fig. 1. Fig. 1. Centralized transaction vs. blockchain transaction Source: IEEE Access It uses smart contracts to make sure that participants follow the rules, a distributed consensus method to make sure that everyone agrees on the proposal, and cryptography-based safety measures to make trade easier. As a result, it offers the customer a private cybersecurity solution that is strong and resilient. Additionally, blockchain reduces the possibility of double-spending that comes with digital currencies. The computation-intensive algorithm is necessary to mitigate the possibility of double-spending. New blocks are added to the blockchain, and transactions are validated using this computational technique. Specialists compete with one another to solve problems and validate these transactions. Additionally, blockchain offers attributes likeTransparency, which makes data easily auditable,Redundancy, which distributes a copy of data to all participants to prevent third-party malpractice,Immutability, which makes record alteration exceedingly difficult,Disintermediation, which does away with intermediaries like banks or energy utilities,Blockchain technology offers continuous traceability of all energy transactions as well as a comprehensive transaction record for the energy markets. But there are still some issues with the technology. Among the difficulties are those related toDigital data and metadata storageNetwork effect problemsCopyright disputesLegal concernsSummarizing the Key Points The Energy Internet can address ongoing smart grid issues brought on by the unpredictable and variable nature of renewable energy systems.Prosumers owning a larger portion of the power generation industry can minimize government investment in generating facilities.Blockchain and IoT technologies can make security breaches less likely and less harmful, and they should also make recovery easier with little assistance from humans.Disintermediation and blockchain technology offer continuous traceability of all energy transactions as well as a comprehensive transaction record for the energy markets.Difficulties related to digital data and metadata storage, copyright disputes, network effect problems, and legal concerns still exist with blockchain technology.Reference Joseph, Akhil, and Patil Balachandra. “Smart Grid to Energy Internet: A Systematic Review of Transitioning Electricity Systems.” IEEE Access 8 (2020): 215787–805. https://doi.org/10.1109/access.2020.3041031.

Overview: This article explores how the smart grid, with its IoT-based transactions, can help address energy challenges in the 21st century. Learn about the role of renewable power generation and electrical grid infrastructure in energy conservation.  "Smart Grid" (SG) refers to the upgraded electrical grid that was made possible by advances in communication and sensor technology. Developing smart grid infrastructure is one of the solutions to many problems regarding energy conservation.Challenges in Energy TransactionsThere is an increase in the amount of energy produced by solar and wind sources. Additionally, there are new loads, such as electric vehicles, heat pumps, smart residential cities, commercial and industrial usage, infrastructure, substations, etc. Due to these characteristics, additional technological challenges, notably the unpredictability of solar, wind, and electric vehicle charging stations, represent a significant challenge in the process of distributing energy, which is a critical issue.  Energy demand has been rising rapidly due to the expansion of industries and population density. To prevent an energy crisis in the future, attention is being paid to energy consumption. Due to a lack of dependability, efficiency, security, seamless connectivity, etc., conventional electrical energy and networks would not be able to meet the needs of the industry in the 21st century. As a result, many new technologies (including communication and sensors) have developed to offer the features listed above.Evolution of Internet of EnergyThe Internet of Things (IoT) has evolved due to the expansion of heterogeneous networks and smart devices, enabling all networks and devices to interact with one another and create communication links with one another. The Internet of Things will be very helpful in the smart grid because it manages numerous components and seeks to give users the best possible energy.  The Internet of Things (IoT) is becoming more popular in smart grids under the "Internet of Energy" (IoE). To deliver the best energy and share relevant data among the numerous entities connected to the grid, smart grid technology uses all newly developed communication technologies and creates a completely connected network. A major problem has been the administration of enormous amounts of real-time data and its integration.  In contrast to the Internet of Things, the Internet of Energy is one of the most recent approaches to addressing issues like uninterruptible services, optimal use, etc. This article describes how the smart grid will use the Internet of Things to manage energy effectively. This also discusses how communication technologies integrate various smart grid components, infrastructure entities, substations, electric vehicles, etc. Advantages of Internet of Energy-based Smart GridsThe Internet of Energy enables optimal power distribution to all grid-connected devices and information sharing inside the grid network. Energy management, electric vehicle integration, and network integration will all be crucial in smart grids. Vehicle-to-grid (V2G) and grid-to-vehicle (G2V) technology have established a road to deal with the integration. With this technology, automobiles can communicate data with infrastructure about their state of charge (SOC), battery life, and condition, in addition to receiving the best possible energy supply. Due to the rapidly expanding energy consciousness, a dependable system that can deliver high-quality energy with optimal output and a sustainable backup system is required. This is why the smart grid is so unique because of the way it became linked to the bidirectional network system. The multi-agent system (MAS) will be employed in industries to manage the smart grid without human interaction. The software component known as the multi-agent system is responsible for gathering and delivering necessary data throughout the network. Challenges in SecurityThe effective formation of communication between entities aids in the handling of the massive amount of real-time data using reliable, secure encryption techniques. Only permitted entities should be able to manage network data exchange. Data management and security will become important challenges while dealing with a large volume of data and powering every device connected to the grid. The grid network will be more vulnerable to cyberattacks, which might cause individual components and the network as a whole to malfunction.  It results in the flow of incorrect information between entities and end users. Therefore, it is necessary to give the grid high security. Strong protocols (including encryption and decryption), anti-malware software, and highly secure network management protocols are required for high security.Features of Internet of EnergyThe smart energy infrastructure shown in Fig. 1 is a networked system comprising loads, energy metering units, energy storage devices, and automated and centralized distribution systems. Power and energy distribution across the network is the Internet of Energy’s primary goal, and it also enables information sharing with all linked devices. It deals with the security and management of real-time data. Cloud and edge-based systems are fully necessary for implementing the "Internet of Energy" concept.  Open-source interfaces are necessary for creating customer-specific applications to make the Internet of Energy quick and effective. The cloud-based application system at the power grid substation compares the actual target with the current target demand. It offers services like security management and power delivery to remote locations. The substation-connected assets were tracked, examined, and shared using the Internet of Energy.  Once the data analysis process is complete, the appropriate entity will permit the necessary steps, transforming the power plant and smart grid from a traditional into a virtual system. The advanced distributed energy management system's use of technology improves the effectiveness of power usage. Utilizing appropriate optimization techniques at various levels maximizes output while lowering costs, boosting profitability, improving dependability, and incorporating more renewable resources into the smart grid network.  The administration of smart meters, grid analytics, sub-station devices, low voltage outage management systems, and distributed energy resource management systems are some advanced applications integrated with the Internet of Energy. By integrating real-time data and devices into the digital world, smart grids offer quick and safe transport of information and power. Fig. 1. Internet of Things-based efficient energy transactions at the grid and charging stations. Source: IET Renewable Power Generation Summarizing the Key PointsThe use of Internet of Things-based efficient energy transactions is crucial in addressing the challenges faced by conventional electrical energy and networks in meeting the demands of the industry in the 21st century.The Internet of Things has played a significant role in the evolution of the electrical grid, enabling all networks and devices to interact with one another and create communication links.The Internet of Things-based efficient energy transaction can help prevent an energy crisis in the future by ensuring that energy demand is met efficiently and securely.The Internet of Energy is becoming more popular in smart grids as it seeks to give users the best possible energy by managing numerous components and providing uninterruptible services.The administration of enormous amounts of real-time data and its integration has been a major problem in smart grids, which can be addressed using Internet of Things-based efficient energy transactions. This blog post is part of a full research article from IET Renewable Power Generation. The featured image is courtesy of Midjourney. 

CatalogⅠ IntroductionⅡ The Layout of the Car MarketⅢ The Layout in the Industrial FieldⅣ The Layout on the Internet of ThingsⅤ ConclusionⅠ IntroductionON Semiconductor: In 2021, it will focus on the automotive, industrial and cloud power, and the Internet of Things marketThe end of the year and the beginning of the year is often a time for companies to make summaries and outlook, and the semiconductor industry is no exception. Not long ago, ON Semiconductor also made a year-end review of 2020 and revealed to the media what ON Semiconductor plans to do in 2021. "The year 2020 is a year of surprises for everyone. People around the world are experiencing the worst epidemic in a century. The good news is that the epidemic has eased in some parts of the world. Looking forward to 2021, we hope to get out of the epidemic as soon as possible and have a more favorable business environment." DavidSomo, senior vice president of strategy, marketing and solution engineering at ON Semiconductor, said in his opening remarks at the press conference.Due to the epidemic, the global economic situation in 2020 is not optimistic. According to Bloomberg data, GDP growth in 2020 is expected to drop from 2.8 percent in 2019 to minus 3.7 percent. China will be the only major economy in the world with positive growth by 2020, while all other economies are expected to suffer single-digit declines. Fortunately, in the second half of 2020, the global economy began to recover. As indicated by the PMI (Purchasing Managers' Index), manufacturing activity in all major economies resumed growth in the second half of the year, with the only exception being Japan, which also showed a positive trend. DavidSomo expressed an optimistic outlook for the global economy in 2021. "We expect that the economic outlook for next year will be positive, significantly better than this year, and there is a consensus for overall GDP growth of around 5% in 2021," he said. He also stressed that, for its part, ON Semiconductor wants to be a reliable supplier of power, analog, sensor and connection solutions, enabling innovation in energy-efficient electronics. It will focus on providing comprehensive solutions to global customers in the automotive, industrial and cloud power markets, as well as the Internet of Things market. Ⅱ The Layout of the Car MarketIn the automotive sector, ON Semiconductor implements a comprehensive sensor product and solution layout, including image sensors, radar, lidar, ultrasonic sensors and other products and solutions. In additon to sensors, R&D resources continue to be invested in silicon and silicon carbide power semiconductors, as well as LED lighting and automotive power management products. Those investments have also paid off handsomely, accounting for 33% of ON Semiconductor's $5.5 billion in 2019 revenue. DavidSomo pointed out that in the future, ON Semiconductor will continue to develop new products in the automotive market and increase investment in research and development. "On the automotive side, we will push forward research and development around sensors, autonomous driving-related applications, new energy vehicles, and the electrification of vehicles." He revealed. ON Semiconductor is one of the top 10 semiconductor suppliers in the automotive industry. DavidSomo proudly states, "Since entering the automotive market in 2010, ON Semiconductor has shipped 130 billion chips to automotive customers by 2019. In 2019, there were more than 230 ON Semiconductor devices used in every vehicle produced worldwide."The company has set the industry standard for automotive image sensors, with more than 120 million of them shipped to Advanced Driver Assistance System (ADAS) applications. Over the past 13 years, more than 400 million ON Semiconductor automotive image sensors have been used in vehicles on the road. ON Semiconductor has developed a complete portfolio of product solutions and sensor modes to support L4 and L5 autonomous vehicles, including ultrasonic sensor interfaces, image sensors, solid-state LIDAR and millimeter-wave radar technologies. DavidSomo said that ON Semiconductor's MMW technology, acquired from IBM Research Group in Sea Law (IBM), has been used in communications and fiber optics, and plans to use the technology in the automotive sector. It is currently being tested with customers for prototypes but has not yet been used in commercial automotive production. In the case of LiDAR, the technology came from the acquisition of sensL to acquire technology on solid-state LiDAR. According to DavidSomo, sensL was originally designed for use in the medical market but is now being developed for use in the automotive market. "Multiple customers have incorporated our Silicon Photomultiplier (SiPM) and Single-Photon Avalanche Diode (SPAD) technologies into solid-state lidar systems, enabling commercial lidar applications in the automotive industry for L2+ and L3 level autonomous driving safety applications." He went on to point it out. On the cost side, DavidSomo says that because ON Semiconductor's lidar solution is a solid-state solution, it has been able to bring the cost of lidar down from more than $1,000 for mechanical rotation in the past to the current $500 range for solid-state solutions. In terms of image sensors, over the years, ON Semiconductor has made three acquisitions, including Aptina, Cypress's image sensor technology and TrueSense, to enrich its image sensor portfolio.Ⅲ The Layout in the Industrial FieldDavidSomo said that ON Semiconductor offers a wide range of power and automation solutions in the industrial and cloud power markets that support different application scenarios. In terms of power semiconductors, in 2018, ON Semiconductor ranked second behind Infineon with a market share of about 9 percent, according to IHS. As an example, he pointed out that powering the cloud requires several processes, including generation, power supply and power demand management. "In these processes, we have a complete silicon and silicon carbide technology portfolio that supports power generation, transmission and distribution, as well as power and demand management for data centers and 5G base stations." He points it out. In terms of energy efficiency improvement, the use of ON Semiconductor's cloud power solution increased energy efficiency by about 0.5%. In a typical VL data center, the savings over the life of the system are estimated at approximately $38 million. The energy efficiency improvement is only 0.5%, which may not sound like much, but when measured at the system-wide level of deployment, the savings over the lifetime of the system are significant. The development of energy infrastructure is also unstoppable, as a society and the government further promote the development of new energy sources and shift more from coal-fired power generation to renewable energy sources such as wind and solar power. In order to save energy and reduce emissions, reduce air pollution, from fuel vehicles to new energy vehicles, which has generated the demand for electric vehicle charging pile, and ON Semiconductor silicon and silicon carbide power discrete devices and modules, can support the construction of electric vehicle charging pile. Similarly, its power technologies, such as solar inverters used in solar panels, enable clean energy generation, and "ON Semiconductor is fortunate to partner with customers in China to develop applications in these areas." DavidSomo said. Manufacturing is also one of the biggest users of energy. In the United States, our power solutions are used in plant motor drive systems, resulting in savings of more than $350 million per year. If applied globally, the potential savings could reach approximately $5.8 billion per year, resulting in energy efficiency improvements in manufacturing motor drive systems.Ⅳ The Layout on the Internet of ThingsIn the Internet of Things (IoT) area, ON Semiconductor has a complete set of key components and modules that enable devices to be connected, intelligent, aware and actuated in their operating environment."Of course, we recognize that our semiconductor components are not sufficient to build the end-to-end connected Internet of Things (IoT) systems that our customers need, so we are investing more to accelerate development and provide our customers with a number of development tools to enable faster application development and market deployment." DavidSomo admits. While ON Semiconductor can provide many of the key building blocks, DavidSomo believes it is important to work with partners in the Internet of Things (IoT) ecosystem to build IoT solutions for secure end-to-end connectivity. As shown in the figure below, ON Semiconductor works with a number of technology partners to enhance the performance of IoT devices developed by clients, as well as with infrastructure providers such as cloud service providers to enable edge devices to connect securely and stably to the cloud. He also revealed that the company is focusing on three vertical areas in the Internet of Things, namely asset tracking and monitoring, connected lighting, and smart homes and building automation.Ⅴ ConclusionIn conclusion, DavidSomo said that in the process of semiconductor device manufacturing, ON Semiconductor also recognizes the growing need to provide its customers with complete system solutions that add value. As a result, ON Semiconductor offers modular products for power components and built-in controls, as well as reference design kits to speed up customer product development. ON Semiconductor also provides software and design tools to help customers complete designs faster and get their equipment to market faster. He also stressed that ON Semiconductor will focus on research and development, and is committed to developing innovative products and solutions including power, simulation, sensors and connectivity solutions. "Through both endogenous growth and exogenous acquistions, we are further enhancing our capabilities to support the applications our customers are developing, while also building our professional application capabilities to help them develop products better and faster to market."