Abstract
In this letter, we propose an optimization based method for joint anchor deployment and power allocation for achieving high-accuracy localization in the wireless network, where we aim at minimizing the localization error bound under a given sensor number and a fixed power budget. By exploiting squared position error bound as the localization metric, the problem is formulated into a mixed boolean second order cone programming, and is then solved by binary particle swarm optimization. Finally, the proposed algorithm is validated by numerical simulations.
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