Improved Localization Approach for Stationary Nodes in Wireless Sensor Network

Estimating the geographical positions of sensor nodes in wireless sensor networks is a primary objective to be achieved at lower cost. For this, RSSI based techniques are always preferred over other techniques, as every sensor node has inbuilt tendency of determining strength of received signal and quality of communication link. In this paper a technique based on RSSI and LQI along with maximum a posterior (MAP), named as MAP-RSSI(D)LQI is proposed in which RSSI(D) involves a statistical model of GMM that uses offline RSSI values. A comparison between proposed technique and existing MAP-RSSI-LQI and meanRSSI techniques is done and it can be concluded from simulation results that the proposed technique gives better results than existing techniques.