SEP Routing Protocol Based on Hybrid-Strategy Improved Whale Optimization Algorithm

Abstract

Aiming at the problems of unreasonable cluster head election, uneven energy consumption and short network life cycle in wireless sensor networks with Stable Election Protocol (SEP) cluster head election is unreasonable, uneven energy consumption and short network life cycle in wireless sensor networks, a SEP routing protocol based on hybrid strategy whale optimization (HWO-SEP) is proposed. Optimize the population initialization and enhance the population diversity by Tent chaotic mapping with adversarial learning strategy. Design nonlinear convergence factor with dynamic spiral parameters, combined with adaptive inertia weighting model to balance the ability of global exploration and local exploitation. Construct a multi-objective fitness function to optimize the cluster head election process by comprehensively considering the cluster head residual energy, intra-cluster communication cost and distance to the base station. Simulation experiments show that the improved protocol network stability is improved by 47.75%, 31.38%, and 16.35% compared with LEACH, SEP, and WOA-SEP, respectively