IEEE Access, Год журнала: 2023, Номер 11, С. 145813 - 145852
Опубликована: Янв. 1, 2023
The increasing food scarcity necessitates sustainable agriculture achieved through automation to meet the growing demand. Integrating Internet of Things (IoT) and Wireless Sensor Networks (WSNs) is crucial in enhancing production across various agricultural domains, encompassing irrigation, soil moisture monitoring, fertilizer optimization control, early-stage pest crop disease management, energy conservation. application protocols such as ZigBee, WiFi, SigFox, LoRaWAN are commonly employed collect real-time data for monitoring purposes. Embracing advanced technology imperative ensure efficient annual production. Therefore, this study emphasizes a comprehensive, future-oriented approach, delving into IoT-WSNs, wireless network protocols, their applications since 2019. It thoroughly discusses overview IoT WSNs, architectures summarization protocols. Furthermore, addresses recent issues challenges related IoT-WSNs proposes mitigation strategies. provides clear recommendations future, emphasizing integration aiming contribute future development smart systems.
Язык: Английский
Процитировано
60Sensors, Год журнала: 2023, Номер 23(11), С. 5264 - 5264
Опубликована: Июнь 1, 2023
The Internet of Things (IoT) is gaining more and popularity it establishing itself in all areas, from industry to everyday life. Given its pervasiveness considering the problems that afflict today's world, must be carefully monitored addressed guarantee a future for new generations, sustainability technological solutions focal point activities researchers field. Many these are based on flexible, printed or wearable electronics. choice materials therefore becomes fundamental, just as crucial provide necessary power supply green way. In this paper we want analyze state art flexible electronics IoT, paying particular attention issue sustainability. Furthermore, considerations will made how skills required designers such circuits, features design tools characterization electronic circuits changing.
Язык: Английский
Процитировано
14Scientific Reports, Год журнала: 2024, Номер 14(1)
Опубликована: Март 25, 2024
Abstract In the evolving landscape of smart libraries, this research pioneers an IoT-based low-cost architecture utilizing Software-Defined Networking (SDN). The increasing demand for more efficient and economical solutions in library management, particularly realm RFID-based processes such as authentication, property circulation, book loans, underscores significance study. Leveraging collaborative potential IoT SDN technologies, our proposed system introduces a fresh perspective to tackle these challenges advance intelligent management. response presents Internet Things (IoT)-based SDN. exploration architectural paradigm arises from recognized gap existing literature, pointing towards necessity cost-effective managing processes. Our algorithm integrates technologies intelligently oversee various activities, specifically targeting circulation loan system's architecture, encompasses components like data center, controllers, RFID tags, tag readers, other network sensors. By leveraging synergy between SDN, innovative approach reduces need constant operator supervision libraries. scalability software-oriented nature cater extensive environments. study includes two-phase investigation, combining practical implementation small-scale with simulation environment using MATLAB 2021. This not only fills crucial current knowledge but also lays foundation future advancements integration
Язык: Английский
Процитировано
5GSC Advanced Research and Reviews, Год журнала: 2024, Номер 18(1), С. 336 - 363
Опубликована: Янв. 30, 2024
Precision agriculture has revolutionized modern farming practices by integrating cutting-edge technologies such as sensors, drones, and data analytics to optimize crop management. While these advancements offer unprecedented benefits in terms of yield optimization resource efficiency, they also raise significant concerns regarding the security privacy sensitive agricultural data. This research paper delves into intricate landscape precision privacy, aiming identify potential threats, vulnerabilities, corresponding measures necessary for safeguarding farmers' ensuring sustainability practices. The study employs a multidisciplinary approach, combining insights from computer science, agriculture, studies provide comprehensive overview. Through an analysis existing frameworks regulations, this proposes recommendations development implementation robust protocols privacy-enhancing tailored unique challenges agriculture. findings contribute ongoing dialogue on responsible technology adoption emphasizing importance striking balance between innovation protection information era farming.
Язык: Английский
Процитировано
4Cryptography, Год журнала: 2025, Номер 9(1), С. 7 - 7
Опубликована: Янв. 17, 2025
Intelligent precision agriculture incorporates a number of Internet Things (IoT) devices and drones to supervise agricultural activities surroundings. The collected data are then forwarded processing centers facilitate crucial decisions. This can potentially help optimize the usage resources thwart disasters, enhancing productivity profitability. To monitoring decision, smart in must exchange massive amounts across open wireless communication channels. inadvertently introduces vulnerabilities, exposing numerous security privacy threats. address these issues, solutions have been introduced secure process agriculture. However, most current either fail offer perfect protection or inefficient. In this paper, scheme deploying efficient cryptographic primitives such as hashing, exclusive OR random generators is presented. We utilize Burrows–Abadi–Needham (BAN) logic demonstrate verifiable negotiated session keys. addition, we execute an extensive semantic analysis which reveals robustness our against myriad Moreover, comparative performance evaluations its computation overheads energy consumption efficiency.
Язык: Английский
Процитировано
0Computational Intelligence, Год журнала: 2025, Номер 41(1)
Опубликована: Фев. 1, 2025
ABSTRACT To meet the demands of modern technologies such as 5G, big data, edge computing, precision, and sustainable agriculture, combination Internet‐of‐Things (IoT) with software‐defined networking (SDN) known SD‐IoT is suggested to automate network by leveraging programmable centralized SDN interfaces. The previous literature has quality‐of‐service (QoS) aware flow processing using manual strategies or heuristic algorithms, however, these schemes proposed white‐box approaches do not provide effective results scales dynamic changes are happening. This article proposes a novel QoS provision strategy deep reinforcement learning (DRL) calculate optimal routes autonomously for traffic. satisfy different flows in divided into two types. Hence, based on their service demand generated them per request. scenario explained precision agriculture compared benchmark strategies. A real internet topology used evaluation results. indicated that method gives improvements delay, throughput, packet loss rate, jitter models.
Язык: Английский
Процитировано
0Environmental earth sciences, Год журнала: 2025, Номер unknown, С. 161 - 177
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Опубликована: Март 21, 2025
Язык: Английский
Процитировано
0Environmental science and engineering, Год журнала: 2025, Номер unknown, С. 225 - 255
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Environmental science and engineering, Год журнала: 2025, Номер unknown, С. 199 - 224
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
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