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Smart energy optimization for massive IoT using artificial intelligence
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DOI：10.1016/j.iot.2020.100354.png)
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Abstract
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The concept of a connected world using Internet of Things (IoT) has already taken pace during this decade. The efficient hardware and high throughput networks have made it possible to connect billions of devices, collecting and transmitting useable information. The benefit of IoT devices is that they enable automation however, a significant amount of energy is required for billions of connected devices communicating with each other. This requirement of energy, unless managed, can be one of the barriers in the complete implementation of IoT systems. This paper presents the energy management system for IoT devices. Both hardware and software aspects are considered. Energy transparency has been achieved by modelling energy consumed during sensing, processing, and communication. A multi-agent system has been introduced to model the IoT devices and their energy consumptions. Genetic algorithm is used to optimize the parameters of the multi-agent system. Finally, simulation tools such as MATLAB Simulink and OpenModelica are used to test the system. The optimization results have revealed substantial energy consumption with the implementation of decentralized intelligence of the multi-agent system. (C) 2021 Elsevier B.V. All rights reserved.
Keywords:
Internet of things
Artificial intelligence
Energy conservation
Multi-agent systems
MATLAB
5G
Massive IoT
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