Distance Estimation Based Filter RSSI for Indoor Wireless Sensor Networks

location estimation of distributed sensors are take great importance in Wireless Sensors Network (WSN)applications .This paper focus on Radio Signal Strength Indictor(RSSI) to estimate distance between two sensors since RSSI low cost and energy consumption. The main reductions suffered by signal are due to fading , multipath, shadowing and 'large-scale' path loss .Path loss module calculated previously and fixed along processing time without take environment change into consideration . To deal with this problem this paper present a simple method based on the Weight Median Filter(WMF) clarified RSSI sample to overcome attenuation effect periodically. performance evaluation compares Exp. module, mean ,WMF RSSI methods applied to estimate distance . comparison show higher location accuracy obtained from RSSI filtered by WMF than other techniques with slightly rise time . Key-Words: WSN , RSSI, Path loss, WMF ,distance estimation, Exp. module