A dynamic RSSI-based ranging method using pattern matching of slide window

The accuracy of ranging determines the precision of localization in wireless sensor network. However, the uncertainty of received signal strength indicator (RSSI) values and the mobility of the wireless sensor node present a serious challenge for dynamic ranging. A novelty dynamic RSSI-based distance estimation method is proposed, which utilizes the pattern matching and recognizing in term of sliding window of RSSI values. Firstly measure and gain the distribution characteristic of RSSI value offline, and then consider the correlation between distribution characteristics of RSSI values is considered. Through pattern matching of sliding window, the high accuracy of dynamic ranging result is realized. The universal experimental results demonstrate that the method can overcome the uncertainty in RSSI values and provide a practical way to improve dynamic ranging accuracy.