A WSN Clustering Routing Protocol Based On Improved Whale Algorithm

Abstract

Aiming at the problem of unbalanced energy consumption in Wireless Sensor Networks Clustering Routing Protocol, this paper introduces the Whale optimization Algorithm (WOA) in intelligent optimization algorithm, improves its shortcomings, and proposes a Wireless Sensor Networks (WSN) clustering routing protocol based on latet improved whale optimization algorithm (lwoa) based on traditional clustering protocol, By improving the convergence factor and spiral update factor of WOA, an improved algorithm lwoa is obtained and applied to lwoa algorithm for cluster head selection, which makes the cluster head selection of the network more reasonable. The experimental results show that lowa algorithm is better than the traditional Low Energy Adaptive Clustering Hierarchy (LEACH) algorithm and Stable Election Protocol (SEP) The lifetime of the algorithm is improved by 133% and 37% respectively.