Self Localization Algorithms For Wireless Sensor Networks

Presents custom designed localization algorithms for wireless sensor networks (WSN's). Introduces a modification of the 3N time of arrival (TOA) based algorithm and compares its performance with the existing methods using a comprehensive quantitative Monte Carlo simulation study. Studies the effect of different parameters of the algorithms and networks. Proposes a reliable time difference of arrival (TDOA) based localization algorithm for wireless sensor networks which is formulated using the parametric equations of the hyperbolas whose intersections are candidate locations for the nodes to be localized. Introduces a novel graph-theorectic self-localization algorithm which resolves ambiguities in the position candidates.