Implications of Device Diversity for Organic Localization

paper listed on conference site

Bibliographic Details
Main Authors: Park, Jun-geun, Curtis, Dorothy, Teller, Seth, Ledlie, Jonathan
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: IEEE Communications Society 2011
Online Access:http://hdl.handle.net/1721.1/64750
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author Park, Jun-geun
Curtis, Dorothy
Teller, Seth
Ledlie, Jonathan
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Park, Jun-geun
Curtis, Dorothy
Teller, Seth
Ledlie, Jonathan
author_sort Park, Jun-geun
collection MIT
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spelling mit-1721.1/647502022-09-29T19:11:51Z Implications of Device Diversity for Organic Localization Park, Jun-geun Curtis, Dorothy Teller, Seth Ledlie, Jonathan Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Teller, Seth Park, Jun-geun Curtis, Dorothy Teller, Seth paper listed on conference site Many indoor localization methods are based on the association of 802.11 wireless RF signals from wireless access points (WAPs) with location labels. An “organic” RF positioning system relies on regular users, not dedicated surveyors, to build the map of RF fingerprints to location labels. However, signal variation due to device heterogeneity may degrade localization performance. We analyze the diversity of those signal characteristics pertinent to indoor localization — signal strength and AP detection — as measured by a variety of 802.11 devices. We first analyze signal strength diversity, and show that pairwise linear transformation alone does not solve the problem. We propose kernel estimation with a wide kernel width to reduce the difference in probability estimates. We also investigate diversity in access point detection. We demonstrate that localization performance may degrade significantly when AP detection rate is used as a feature for localization, and correlate the loss of performance to a device dissimilarity measure captured by Kullback-Leibler divergence. Based on this analysis, we show that using only signal strength, without incorporating negative evidence, achieves good localization performance when devices are heterogeneous. Nokia Research Center 2011-07-06T19:22:09Z 2011-07-06T19:22:09Z 2011-04 Article http://purl.org/eprint/type/ConferencePaper 0743-166X http://hdl.handle.net/1721.1/64750 Park, Jun-geun et al. "Implications of Device Diversity for Organic Localization." in Proceedings of the 30th IEEE International Conference on Computer Communications (IEEE INFOCOM 2011), TS67:Localization, April 10-15, Shanghai, China. en_US http://www.ieee-infocom.org/program_advance.html Proceedings of the 30th IEEE International Conference on Computer Communications (IEEE INFOCOM 2011) Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf IEEE Communications Society MIT web domain
spellingShingle Park, Jun-geun
Curtis, Dorothy
Teller, Seth
Ledlie, Jonathan
Implications of Device Diversity for Organic Localization
title Implications of Device Diversity for Organic Localization
title_full Implications of Device Diversity for Organic Localization
title_fullStr Implications of Device Diversity for Organic Localization
title_full_unstemmed Implications of Device Diversity for Organic Localization
title_short Implications of Device Diversity for Organic Localization
title_sort implications of device diversity for organic localization
url http://hdl.handle.net/1721.1/64750
work_keys_str_mv AT parkjungeun implicationsofdevicediversityfororganiclocalization
AT curtisdorothy implicationsofdevicediversityfororganiclocalization
AT tellerseth implicationsofdevicediversityfororganiclocalization
AT ledliejonathan implicationsofdevicediversityfororganiclocalization