A Distributed Localization Method for Mobile Wireless Sensor Networks

Z. Hao, S. Wang, and M. Tan (PRC)


Sensor networks, localization, optimization, simulations.


Mobile wireless sensor nodes need to know their locations in many applications; otherwise the data from the nodes is meaningless. In this paper, we study a special case and propose a distributed localization method for mobile wireless sensor networks. In the case, a part of nodes are randomly selected as mobile nodes and their moving directions and ranges are randomly selected. Every node knows its original location. The mobile nodes record their moving directions and ranges by the equipped sensors to calculate their positions. Then every mobile node’s localization is refined by the optimization algorithm, which is based on the difference between the measured distances and estimated distances with its still neighbors. Finally, simulation results are provided to evaluate the proposed method.

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