A multi-objective evolutionary algorithm for improving energy consumption in wireless sensor networks

Abstract

Energy consumption and coverage problem are two important issues in wireless sensor networks. In this paper, we are going to maintain sensing coverage in a heterogeneous wireless sensor network with an adjustable sensing range that is randomly developed, in such a way that small numbers of sensor nodes are active, and therefore a small amount of energy is consumed, and the network lifetime increases. This is a multi-objective optimization problem. We used a Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) for solving this problem. The experimental results demonstrated that MOEA/D can perform better than NSGA-II.