Date of Publication :18th March 2021

Abstract: Internet of Things (IoT) is a promising model, which has attained more demand in research field nowadays. The multiple sophisticated and well-performing devices integrated with IoT system require more energy. Hence, the problem of energy consumption in IoT network is considered as the significant research area. Moreover, Green IoT takes the role of minimizing energy consumption in IoT devices thus achieving sustainable environment for IoT systems. The main intention of this proposal is to develop an energy-efficient protocol for M2M communication in Green IoT using a clustering process incorporated with hybrid meta-heuristic algorithm. The energy-efficient Green IoT is developed by the proposed LEACH protocol, aiming to diminish the power consumption at different levels. The main objective of the proposed protocol is to minimize the energy consumption of M2M communication, by minimizing the distance between the devices, and delay while transmitting data with the development of cluster head selection. In order to attain this objective, the proposed LEACH protocol utilizes the hybrid meta-heuristic algorithm that merges the beneficial concepts of both Whale Optimization Algorithm (WOA), and Deer Hunting Optimization Algorithm (DHOA), and the hybrid algorithm is termed as Whale-based DHOA (W-DHOA). The combination of these two algorithms in LEACH protocol performs well in cluster head selection to minimize the energy consumption, thus maximizing the network lifetime, which leads to frame an energy efficient Green IoT.

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