Research on the Node Localization Based on Quantum Particle Swarm Optimal Algorithm for WSNs

In the applications of wireless sensor networks, the effects of data reflection largely depend on the accuracy of localization of the information collection node. Therefore, the position information of nodes is very important. Without it, events can not be sensed and measured, and value of application will be lost. To improve the location accuracy of nodes in wireless sensor networks, the paper puts forward research of node localization model in WSNs based on quantum particle swarm optimal algorithm. The results of the simulation show that the method can get significantly higher localization accuracy than the genetic algorithm and get the convergence of optimal solutions faster than the standard particle swarm algorithm under the same conditions.