Abstract:

A localization method based on stochastic particle swarm optimization is proposed. Suppose there are some anchor nodes in the network, and the distance between adjacent sensor nodes can be measured, so the sensor nodes to be localized utilize stochastic particle swarm optimization to estimate positions after obtaining enough distances and positions of neighboring anchors or localized sensor nodes. Simulation shows that this method outperforms multilateration and localization based on the standard particle swarm optimization.

Key words: wireless sensor networks; localization; range; stochastic particle swarm optimization