Optimization analysis of WSN location process based on hybrid PSO algorithm

Location is one of the basic services provided by the Wireless Sensor Networks (WSN), which is not only a requirement for geography location information, but also a decisive role in network routing, topology configuration, and load balancing. In order to balance the positioning accuracy and the positioning response time, particle swarm optimization (PSO) algorithm is introduced in the process of WSN localization. Firstly, the parameters of PSO are set and the mathematical model of WSN localization is established. Then, the hybrid mechanism is adopted, and the crossover and mutation factors are used to make PSO algorithm have the ability to jump out of the local optimal solution and find a better solution. Finally, the simulation results show that the method can not only improve the location accuracy, but also reduce the location response time.