Solar Wireless Sensor Network Routing Algorithm Based on Multi-Objective Particle Swarm Optimization

With the development of information technology, wireless sensor networks have been widely used in agricultural irrigation management, military intrusion monitoring, industrial control and other fields. How to reduce the node energy consumption and maintain energy balance has been a hot topic in wireless sensor network research. This paper proposes a multi-hop data forwarding algorithm for wireless sensor networks powered by solar cells and batteries, and presents a multi-objective decision-making model for data forwarding node selection of next hop. The Pareto optimal solution set is obtained by using multi-objective particle swarm optimization algorithm. The characteristics of solar energy acquisition are analyzed, and a solar energy supply model is designed. The simulation results show that the data forwarding algorithm can adapt to the change of network energy, and reduce network energy consumption and network delay.

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