Academy & Industry Research Collaboration Center
In this paper, the authors propose to obtain the location information of a sensor node deployed in a Wireless Sensor Network (WSN). Here, time of arrival based localization technique is considered. They calculate the position information of an unknown sensor node using the non-linear techniques. The performances of the techniques are compared with the Cramer Rao Lower Bound (CRLB). Non-linear least squares and the maximum likelihood are the non-linear techniques that have been used to estimate the position of the unknown sensor node. Each of these non-linear techniques is iterative approaches, namely, newton Raphson estimate, gauss newton estimate and the steepest descent estimate for comparison. Based on the results of the simulation, the approaches have been compared. From the simulation study, Localization based on maximum likelihood approach is having higher localization accuracy.