Connectivity-Received Signal Strength Based Wireless Sensor Network Localization in a Nakagami-m Fading Channel

This paper studies the impact of Nakagami-m fading channel on the accuracy of the localization approach in a Wireless Sensor Network (WSN), based on the connectivity information and the Received Signal Strength (RSS) approach. Unknown nodes are distributed in a linear WSN (LWSN) as a homogeneous Poisson point process and the channels are subject to Nakagami-m fading. We investigate the impact of the shape parameter, m, on localization accuracy, and we compare it to the location estimation performance when distribution of RSS in shadowing path loss model is Log-normal, as well as to the Cramer-Rao lower bound (CRLB) for the localization problem. Extensive simulations are conducted to show the performance of the algorithm. We present the cumulative distribution function (CDF) of the localization normalized error using only 2 reference nodes. Results show the efficiency of the localization in a Nakagami fading channel. Also, they show that changing the shape parameter does not have an impact on localization accuracy.