Cramer-Rao Bound Analysis of Quantized RSSI Based Localization in Wireless Sensor Networks

Localizing sensor nodes in a distributed system of wireless sensors is an essential process for self-organizing wireless sensor networks. Localization is a fundamental problem in wireless sensor networks, and the behavior of localization has not been thoroughly studied. In this paper, we formulate the quantized received signal strength indicator based localization as a parameter estimation problem and derive the Cramer-Rao lower bound for the localization problem. We study the effect of quantization level and network configuration parameters on the lower bound of localization error variance and understand the relationship between network configuration and localization accuracy