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In anisotropic wireless sensor networks, range-free multilateration-based localization (RFML) protocols severely suffer from large error in node-anchor distance estimations or the bad geometry of anchors involved in the localization process. In this paper, we propose selective multilateration (SM), a RFML protocol in which a node adaptively selects a subset of anchor nodes with accurate distance estimates...
Distance estimation is a key issue in range-free localization algorithms for wireless sensor networks. Approaches that assume isotropy of networks, such as Dv-hop and Gradient, cannot obtain accurate distance estimations in anisotropic sensor networks thus are not applicable to such networks. The anisotropy of sensor networks comes from two aspects: uneven nodal distribution and irregularity of deployment...
Recently with the emergence of mobile sensor networks, localization for such networks has gained much attention, and many localization algorithms have been proposed. Among them the sequential Monte Carlo (SMC) based algorithms are very popular because of their simplicity and efficiency. However, most current SMC-based localization algorithms implicitly assume there is no attacker in the network, which...
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