Improved Particle Swarm Localization Algorithm Based on Evolutionary Mechanism

Abstract Aiming at the problem of low localization accuracy and poor robustness when conventional algorithms are used for WSN nodes, an improved particle swarm algorithm based on evolutionary mechanism is proposed. To reduce ranging error in a complex environment, anchor box by using information, search area reduced to determine possible region where unknown nodes exist. Then objective function established transform into bounded optimization problem. The genetic operators such as crossover mutation introduced improve global ability algorithm. simulation results show that, compared with positioning algorithm, proposed has smaller errors stronger robustness.