CluRoL: Clustering Based Robust Localization in Wireless Sensor Networks
In a Wireless Sensor Network (WSN), the Sensor Nodes (SNs) generally localize themselves with the help of anchors that know their own positions. In this setting, the localization process has a high risk of being subverted by malicious anchors that lie about their own position and/or distance from the SNs. In this paper, the authors propose an efficient scheme that helps the SNs identify these malicious anchors and discard them from the localization process. They introduce the concept of the bound circle of an anchor with respect to an SN as the circle whose center is at the anchor and whose radius is the estimate of the distance between the anchor and the SN.