WIRELESS sensor networks (WSNs) are increasingly a part of the modern landscape. Disciplines as diverse as volcanic eruption prediction and disaster response benefit from the addition of sensing and networking. A common requirement of many wireless sensor network
systems is localization, where deployed nodes in a network discover their positions. smaller networks covering small areas, fixed gateway devices and One hop communications provide enough resolution. Larger networks may be provisioned with location information at the time of deployment GPS is used for high-precision asset tracking in but fails indoors. Signal strength-based solutions similarly fail when there is a high degree of RF multipath or interference. The solution proposed in relies on accurate measurement of RF TDOA and distance traveled and quickly degrades as accuracy decreases. Radio interferometry localizes nodes to within centimeters in but fails in multipath environments. Mobile beacons roam an outdoor environment in but localization requires a dense network and assumes favorable conditions. Mobility complicates the localization problem since node to node distance variations and environment changes (e.g., due to node mobility or interference from an external source) introduce additional effects, such as small-scale fading our interest in a localization technique for a mobile sensor network, deployed in a harsh environment and a set of interesting/surprising results obtained from simulations of two state-of-the-art localization techniques for mobile sensor networks, namely MCL and MSL.