{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/47808"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/47808","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Design considerations for an indoor location service using 802.11 wireless signal strength","abstract":"This thesis compares approaches to the problem of discovering a mobile user's location indoors. The particular challenges of location discovery using 802.11 (Wi-Fi) signals and \"organically collected\" (i.e. user-generated) received signal strength maps are discussed. Several existing and novel localizer algorithms are compared on a database of organically collected data. Features of local Wi-Fi \"signatures\" which are relevant to location discovery are identified and applied to algorithm design considerations. Future directions for algorithm refinement are discussed.","abstract_html":"This thesis compares approaches to the problem of discovering a mobile user's location indoors. The particular challenges of location discovery using 802.11 (Wi-Fi) signals and "organically collected" (i.e. user-generated) received signal strength maps are discussed. Several existing and novel localizer algorithms are compared on a database of organically collected data. Features of local Wi-Fi "signatures" which are relevant to location discovery are identified and applied to algorithm design considerations. Future directions for algorithm refinement are discussed.","abstract_has_math":false,"creators":["Lambeth, David M., S.M. Massachusetts Institute of Technology"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. 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