A Range-Based Adaptive Target Localization Method in Wireless Sensor Networks With Mobile Anchors

T360 paper proposes a range-based adaptive target localization method in wireless sensor networks with mobile anchors. In the proposed method, we assume that the communication between the mobile anchor nodes occurs in a Hamilton cycle, where every mobile anchor access only once to its immediate neighbor anchor at each iteration time. The positions of unknown nodes are estimated by using the adaptive incremental LMS (Least Mean Squared) algorithm implemented on the mobile anchors based on the sensed range information including the measured distance and direction between the anchor and the target. Due to the adaptation of LMS algorithm, the time-variations of mobile anchors can be tracked to reflect the changing statistical profile of the range. Simulation results show that the proposed method can locate the unknown target with a satisfied accuracy. Further, we evaluate the performance of the proposed method under the different moving speed and noise level.