Adaptive Power System for IoT-Based Smart Agriculture Applications

被引:0
|
作者
Abou Emira, Shahenaz S. [1 ]
Youssef, Khaled Y. [2 ]
Abouelatta, Mohamed [1 ]
机构
[1] Ain Shams ASU Univ, Dept Elect & Elect Commun, Fac Engn, Cairo, Egypt
[2] Beni Suef Univ BSU, Fac Nav Sci & Space Technol, Bani Suwayf, Egypt
关键词
IoT; Load Scheduling; Sustainability; Solar irradiance; State of charging; Agriculture; Solar power; Energy management;
D O I
10.1109/icenco48310.2019.9027393
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Adaptive power utilization service plays a significant role in the enablement of Internet of Things (IoT) systems in critical energy applications in particular the agricultural environments. These environments are characterized by the wide range of lands with absence of commercial power lines in most of the area. In addition, there is difficulty to reach some deep or high points of sensing in such environments. The adaptive power system shall pave the way to realize the intelligent service for users to build a real-time interaction platform. It can improve the sustainability, stability and reliability of power supply, and provide users with more humanized and multiple intelligent service. IoT technology can effectively improve the adaptive power utilization with its reliable communication and strong data processing. In this paper, a technique is proposed to provide a sustainable power service to ensure continuous operation of smart agriculture system. It depends on renewable energy management and control against load demands. A model governing the technique is built on Matlab and simulation results are discussed.
引用
收藏
页码:126 / 131
页数:6
相关论文
共 50 条
  • [1] Smart Agriculture: IoT-based Greenhouse Monitoring System
    Simo, A.
    Dzitac, S.
    Badea, G. E.
    Meianu, D.
    [J]. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2022, 17 (06)
  • [2] IoT-Based Framework for Smart Agriculture
    Yang, Jian
    Sharma, Amit
    Kumar, Rajeev
    [J]. INTERNATIONAL JOURNAL OF AGRICULTURAL AND ENVIRONMENTAL INFORMATION SYSTEMS, 2021, 12 (02) : 1 - 14
  • [3] IoT-based Measurement for Smart Agriculture
    Heideker, Alexandre
    Ottolini, Dener
    Zyrianoff, Ivan
    Torre Neto, Andre
    Cinotti, Tullio Salmon
    Kamienski, Carlos
    [J]. PROCEEDINGS OF 2020 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AGRICULTURE AND FORESTRY (METROAGRIFOR), 2020, : 68 - 72
  • [4] Development of Algorithms for an IoT-Based Smart Agriculture Monitoring System
    Siddiquee, Kazy Noor-E-Alam
    Islam, Md Shabiul
    Singh, Ninni
    Gunjan, Vinit Kumar
    Yong, Wong Hin
    Huda, Mohammad Nurul
    Naik, D. S. Bhupal
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
  • [5] IoT-based smart agriculture: an exhaustive study
    Avinash Pawar
    S. B. Deosarkar
    [J]. Wireless Networks, 2023, 29 : 2457 - 2470
  • [6] IoT-based smart agriculture: an exhaustive study
    Pawar, Avinash
    Deosarkar, S. B.
    [J]. WIRELESS NETWORKS, 2023, 29 (06) : 2457 - 2470
  • [7] Enhancing water management in smart agriculture: A cloud and IoT-Based smart irrigation system
    Et-taibi, Bouali
    Abid, Mohamed Riduan
    Boufounas, El-Mahjoub
    Morchid, Abdennabi
    Bourhnane, Safae
    Abu Hamed, Tareq
    Benhaddou, Driss
    [J]. RESULTS IN ENGINEERING, 2024, 22
  • [8] IoT-Based Agriculture Monitoring System
    Raviteja, Kantamneni
    Supriya, M.
    [J]. DATA ENGINEERING AND COMMUNICATION TECHNOLOGY, ICDECT-2K19, 2020, 1079 : 473 - 483
  • [9] Machine Learning for Cloud and IoT-Based Smart Agriculture
    Et-taibi, Bouali
    Abid, Mohamed Riduan
    Boufounas, El-Mahjoub
    Bourhnane, Safae
    Benhaddou, Driss
    [J]. ADVANCES IN CONTROL POWER SYSTEMS AND EMERGING TECHNOLOGIES, VOL 2, ICESA 2023, 2024, : 181 - 187
  • [10] IoT-Based Smart Irrigation System
    Subramani, C.
    Usha, S.
    Patil, Vaibhav
    Mohanty, Debanksh
    Gupta, Prateek
    Srivastava, Aman Kumar
    Dashetwar, Yash
    [J]. COGNITIVE INFORMATICS AND SOFT COMPUTING, 2020, 1040 : 357 - 363