Improved localization with RSSI and DTN algorithms in wireless sensor networks

Abstract

We introduce a Triangulation (DTN) algorithm that uses a WSN along with GP algorithm to enhance the accuracy of different location algorithms. The GP is used for the prediction of direction of the RSSI. The experimental results show that GP can able to predict the RSSI tendency and reduces variations of RSSI signal as the mobile user is in motion. The proposed triangulation algorithm cooperates with GP gives the lowest mean-distance error in runtime. Triangulation method proves better localization algorithm compared with other methods. Anchor nodes measures the RSSI of nearest neighbour nodes, based on RSSI values DTN method approximates the nearest neighbour nodes and DT triangles are formed.