International Journal on Smart Sensing and Intelligent Systems
In order to reduce the location estimation error in Wireless Sensor Network (WSN). A localization algorithm is proposed combining adaptive estimation, PI-learning and spring-relaxation techniques for wireless sensor networks in this paper. The authors' proposed method takes the advantages of the spring-relaxation technique, thus it inherits its simplicity. The overall accuracy of the location estimations is improved by introducing adaptive estimation and PI-learning. Moreover, it requires only a few beacons with known locations to compute the location estimates of all sensors. Simulation examples demonstrate the overall accuracy of the proposed method.