Performance comparisons of Genetic Algorithm and Artificial Bee Colony Algorithm applications for localization in wireless sensor networks

Localization technology is one of the most important research areas in wireless sensor networks. This paper proposes a set of RF modulation methods to improve the accuracy of localization by utilizing the Receive Signal Strength Indication (RSSI). Two different RF power adjust methods are proposed in this paper. Genetic Algorithm (GA) and Artificial Bee Colony Algorithm (ABC) are used to optimize the location estimation in the indoor environment. Comparisons of the performance of these two methods with two different RF power adjustments are also conducted.