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In this paper, we define a mobile self-localization (MSL) problem for sparse mobile sensor networks, and propose an algorithm named mobility assisted MDS-MAP(P), based on multi-dimensional scaling (MDS) for solving the problem. For sparse sensor networks, all the existing localization algorithms fail to work properly due to the lack of distance or connectivity data to uniquely calculate the geo-locations...
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