SL-R Distributed Localization Algorithm for Wireless Sensor Networks

Localization is one of the supporting technologies in wireless sensor networks. In this paper, a novel SL-R distributed algorithm is formally described, designed, implemented and evaluated. The algorithm includes two stages. In first stage, sampling is carrying out based on received anchor information and the initial position estimate of sensor node comes into being. In second stage, the initial node position is refined. The performance of SL-R algorithm is evaluated from different aspect. Simulation results show SL-R algorithm is convergent under a few refinement times and achieves high localization accuracy in low sample size threshold. It also gets high localization coverage when anchor ratio is less. Comparing with similar methods, SL-R obtains higher localization accuracy.