Energy Balanced Clustering Routing Protocol for Wireless Sensor Networks

Abstract

Energy consumption has become the research focus of large-scale wireless sensor networks, so it is very important to design an efficient and energy-saving routing protocol. In order to reduce the energy consumption of nodes in the wireless sensor network and extend the life cycle of the network, a energy-balanced clustering routing protocol was proposed. On the basis of sine cosine algorithm, the differential evolution algorithm and adaptive inertia weight are embedded to enhance the convergence accuracy of the algorithm, and the fitness function is constructed by the distance between nodes, between nodes and the base station, and the remaining energy of nodes. The improved sine cosine algorithm is used to select the optimal cluster head. At the same time, a selective multi-hop transmission mechanism of cluster head nodes is designed in the data transmission stage between clusters. Simulation results show that, compared with the Low Energy Adaptive Clustering Hierarchy protocol, the proposed protocol can prolong the stability cycle and life cycle of the network by 61.22% and 19.08%, respectively.