An improved indoor localization based on RSSI and feedback correction of anchor node for WSN

Received signal strength indicator (RSSI)-based localization attracting a great deal of research interest since it requires a relatively low configuration, battery power and easy control. However, the indoor localization algorithm based on RSSI is easy to be influenced by the channel interference and the environment. In this paper, a novel method is presented for improving the accuracy of indoor localization, which is based on anchor node feedback correction. First, the whole environment is divided before positioning, after the minimum location area is determined, the model parameters of the path loss in the region are estimated, then the distance between nodes is calculated accurately, and the feedback of neighbor anchor nodes is used to improve the accuracy further. The simulation results indicate that the method improves the accuracy of node localization and lower the delay and energy consumption of networks compared with conventional RSSI-based algorithm.