An efficient distance estimation algorithm using Kalman estimator for outdoor wireless sensor network

In this paper, an accurate distance estimation for outdoor wireless sensor network is proposed. An experimental study on Radio Signal Strength (RSS) measurement has been carried out with Zigbee RF module series 1. A statistical modeling is performed to determine the best channel. From the RSS values of the best channel, the distance between the anchor & unknown node is computed using Longley-Rice and Nakagami Models. The accuracy of distance estimation is refined using one-dimensional Kalman Filter.