
Time of Arrival Based Localization in Wireless Sensor Networks : A Non-Linear Approach
Author(s) -
S Ravindra,
S N Jagadeesha
Publication year - 2015
Publication title -
signal and image processing : an international journal
Language(s) - English
Resource type - Journals
eISSN - 2229-3922
pISSN - 0976-710X
DOI - 10.5121/sipij.2015.6104
Subject(s) - wireless sensor network , computer science , wireless , wireless network , real time computing , computer network , telecommunications
In this paper, we aim 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. We 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 are 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