We study the problem of tracking a moving target using navigated mobile sensors in wireless sensor networks. With unknown target and mobile sensor locations. we need to estimate the locations of the target and the mobile sensors first. Based on a more general TOA measurement model. convex optimization algorithms through SDP relaxation are developed for localization. We provide a sequential algorithm and a joint weighted localization algorithm before controlling the mobile sensor movement to follow the target. For the navigation of mobile sensors. the cubic law is applied. Simulation results illustrate successful tracking and navigation performance for the proposed algorithms under different trajectories and noises.
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