We consider the problem of localizing random sensor networks by means of Time of Arrival capabilities. Interactions among sensors are modeled by a mass-spring system. Masses (sensors) initially have a random estimation of their position. The knowledge of their distance from other masses is translated into connect masses with springs whose length should reach the estimated distances. This determines a set of forces to which masses are subject to. Starting from this configuration we propose several strategies reducing the overall time needed to reach the desired level of equilibrium.
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