الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
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 study, an algorithm 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. The proposed algorithm depends on two main parameters the availability of power represented as solar irradiance or battery state of charging and the load criticality index. A model governing the algorithm is built on Matlab and simulation results are discussed.