Research on Automatic Exclusion Routing Algorithm for Wireless Sensor Network Dead Node

Abstract

Effectively selecting dead nodes is very significant for the efficient communication of wireless sensor networks. The capacity consuming process of the dead nodes in wireless sensor networks has strong randomness and dynamic characteristics, which makes the energy consumption of the dead nodes appear irregular divergence problem. Traditional wireless sensor network dead nodes take the energy distribution of the given dead nodes as the precondition without considering the dead nodes resulting from temperature and energy reduction problem caused by irregular energy consumption. This paper proposes a wireless sensor network dead node selection routing algorithm based on self-adaption fuzzy differential and self-adaption particle swarm. Our research analyzed wireless sensor network communication principle to get the energy characteristics wireless sensor network dead node. This research used self-adaption particle swarm routing algorithm to compute the optimal position of wireless sensor network partition dead nodes, obtaining the optimal position of the optimum energy dead nodes in wireless sensor network. We realized the coverage improvement of network dead node. Simulation results show that the proposed routing algorithm can realize the improvement of the dead nodes in wireless sensor network and has a high convergence efficiency.