Energy Efficiency and Network Lifetime Optimization with Adaptive Power Control for IoT Networks

Abstract

The main objective of this paper is to optimize the energy efficiency and network lifetime of Internet of Things (IoT) devices using meta-heuristic optimization technique. It also aims to adjust the transmit power of the nodes based on network connectivity and signal strength. Hence in this paper, Energy Efficiency and Network Lifetime Optimization with Adaptive Power Control (EENLO-APC) technique for IoT networks is proposed.  In this technique, energy efficiency and network lifetime of IoT devices are optimized by applying Electric Fish Optimization (EFO) algorithm. After this, the transmit power of the IoT end device is adaptively adjusted based on the connectivity and Signal to Noise Ratio (SNR) metrics.  By simulation results, it has been shown that EENLO-APC achieves maximum energy efficiency and packet delivery ratio with reduced packet loss rate, while varying the number of nodes and data rate.