PSO-Based Target Localization and Tracking in Wireless Sensor Networks

Research of target localization and tracking is always a remarkable problem in the application wireless sensor networks (WSNs) technology. There are many kinds research applications tracking, such as Angle Arrival (AOA), Time (TOA), Difference (TDOA). The accuracy for TOA, TDOA, AOA better than RSS. However, required devices more expensive In addition, computational complexity also complicated This paper uses particle swarm optimization (PSO) algorithm with received signal strength index (RSSI) channel model indoor tracking. performance eight different method combinations random or regular points, fixed adaptive weights, region segmentation (RSM) proposed this investigated number particles PSO 12, 24, 52, 72, 100. simulation results show that RSM can reduce used improve speed positioning without affecting total average time be reduced by 48.95% 34.14%, respectively, reaches up to 93.09%.