Mobile Sensor Network Localization in Harsh Environments
The node localization problem in mobile sensor networks has recently received significant attention. Particle filters, adapted from robotics, have produced good localization accuracies in conventional settings, but suffer significantly when used in challenging indoor and mobile environments characterized by a high degree of radio irregularity. The authors propose FuzLoc, a fuzzy logic-based approach for mobile node localization in challenging environments and formulate the localization problem as a fuzzy multi-lateration problem, with a fuzzy grid-prediction scheme for sparse networks. They demonstrate the performance and feasibility of their localization scheme through extensive simulations and a proof-of-concept implementation on hardware, respectively.