Localization Using GASA for Wireless Sensor Networks

With the proliferation of location dependent applications in sensor networks, localization awareness becomes an essential capability of sensor nodes. Many localization algorithms have been proposed in recent years, in which DV-Hop is the most popular one. Intrinsically, localization is an optimization problem based on various distance/path measures. GA and SA are both widely used approaches toward optimization problems with certain strength and weakness. GASA which combines GA and SA can provide a more powerful optimization method. In this paper, we firstly proposed GASA-Hop which used GASA as a post-optimizer of DV-Hop to further improve the accuracy of its position estimation. Our simulation results reveal that GASA-Hop is effective.