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The node localization problem in mobile sensor networks has received significant attention. Recently, particle filters adapted from robotics have produced good localization accuracies in conventional settings. In spite of these successes, state of the art solutions suffer significantly when used in challenging indoor and mobile environments characterized by a high degree of radio signal irregularity. New solutions are needed to address these challenges. The authors propose a fuzzy logic-based approach for mobile node localization in challenging environments. Localization is formulated as a fuzzy multi-lateration problem. For sparse networks with few available anchors, they propose a fuzzy grid-prediction scheme.
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