A novel environment self-adaptive localization algorithm based on RSSI for wireless sensor networks

Localization is one of the supporting technologies in wireless sensor networks, and accuracy is a significant criterion to evaluate the practical utility of localization algorithm. The effect of environment parameters like path loss exponent to measurement accuracy in received signal strength indicator (RSSI) is considered in this paper. According to the relationship between distance and received signal power among beacon nodes, least squares method (LSM) is introduced to acquire current environment parameters. Then the estimated distance is converted to an appropriate weight. Finally, the location information of nodes can be calculated out by weighted Centroid localization algorithm (WCLA). Simulation results in MATLAB show that our algorithm (LS-WCLA) has good self-adaptability and robustness.