Maximizing the Life Time of Wireless Sensor Networks Over IoT Environment

The development of novel and efficient energy algorithms for the Internet of Things (IoT) paradigm is a challenging issue since the network performance of this state-of-the-art technology cannot be handled effectively by the existing techniques that are utilized in wireless sensor networks. To meet the requirements of maximizing IoT network lifetime, this paper addresses the energy efficiency challenge by proposing a novel deployment protocol called Life Time Maximizing Based on Analytical Hierarchal Process and Genetic Clustering Protocol (LiM-AHP-G-CP) for the IoT Environment. Particularly, the protocol presents a novel optimal clustering algorithm for battery-powered IoT devices, an efficient IoT heads selection algorithm, as well as a heuristic method for optimal hop selection. The simulation results show that our protocol outperforms the Energy-Aware Clustering and Routing Protocol (EA-CRP) in terms of network energy utilization.