An Adaptive RSSI Compensation Strategy Based on Simulated Annealing for Indoor Cooperative Localization

Node localization is a fundamental problem in many wireless sensor networks applications. In this study, based on simulated annealing approach, an adaptive RSSI compensation strategy in cooperative localization (called SA-ARC-CL algorithm) is proposed. Firstly, we built cooperative localization model and then extract the localization problem based on this model. The core problem is to find the right RSSI compensation of each Access Point (AP). After that, an improved simulated annealing approach is proposed to solve this problem, in which some new rules are proposed to make this solution more effective. Finally, based on RSSI compensation, WCL algorithm is used to obtain the final position of each UN. Simulation results show that the proposed algorithm performs better than WCL algorithm using only a few APs and has a good RSSI adaptive ability in indoor localization applications. © 2013 Asian Network for Scientific Information.