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Improvisation of Localization Accuracy by Beacon Movement Detection in Wireless Sensor Networks

The Pervasive computing and sensor networks are emerging as key application drivers for wireless networks. Localization is of fundamental importance to pervasive computing and sensor networks because the former operate on devices based on their physical proximity and the latter names data and organize the network in terms of their physical location. Beacons (known location nodes) are one key approach to achieving localization in wireless networks. In this paper we propose a Beacon Movement Detection Schemes such as Location based, Neighbor based, Signal strength binary and Signal strength real schemes for localization accuracy based on the. Automatic Monitoring, Identifying and Removal of such unreliable beacons from the localization Module with the following assumption that there are unnoticed changes of locations of some beacons in the system which affects localization accuracy. The effect of RSSI error in Signal Strength real scheme can be suppressed by individual diversity difference coefficient, distance difference coefficients and distance difference localization equation is defined based on analysis models of maximum likelihood estimation and RSSI, which improves localization.