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Localization in mobile sensor networks: A research on Sequential Monte Carlo localization

research is done at the localization of sensor nodes in a static wireless sensor network. In this paper, the focus is only on the localization of nodes in mobile sensor networks. An algorithm is proposed for mobile sensor networks that use all available information to get better location estimates. Our goal for this algorithm was to minimize communication costs, to have a stable performance even when unpredictable movement occurs and to get an optimal position estimation. Our technique and different extensions, which are proposed throughout the paper, are analyzed at the end of the paper through simulation runs. The proposed algorithm outperforms an Iterative Weighted Least Square method by using less computation power and having more accurate position estimates.