Localization in Wireless Sensor Networks by Constrained Simultaneous Perturbation Stochastic Approximation Technique
Localization of sensor networks poses an immense challenge and is considered as a hot research topic in recent days. To address the accuracy on localization this paper proposes constrained Simultaneous Perturbation Stochastic Approximation (SPSA) based localization techniques for wireless sensor networks. A simple centralized localization algorithm using SPSA technique that estimates the location of the non-anchor nodes based on minimizing the summation of the estimated error of all neighbors is the basic building block of the proposed localization technique. This category of localization technique incurs errors often referred as flip ambiguity.