The limits of localization using RSS

Eiman Elnahraway, Xiaoyan Li, Richard P. Martin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

26 Scopus citations

Abstract

We characterize the fundamental limits of localization using signal strength in indoor environments. Signal strength approaches are attractive because they are widely applicable to wireless sensor networks and do not require additional localization hardware. We show that although a broad spectrum of algorithms can trade accuracy for precision, none has a significant advantage in localization performance. We found that using commodity 802.11 technology over a range of algorithms, approaches and environments, one can expect a median localization error of 10ft and 97th percentile of 30ft. We present strong evidence that these limitations are fundamental and that they are unlikely to be transcended without fundamentally more complex environmental models or additional localization infrastructure.

Original languageEnglish (US)
Title of host publicationSenSys'04 - Proceedings of the Second International Conference on Embedded Networked Sensor Systems
PublisherAssociation for Computing Machinery
Pages283-284
Number of pages2
ISBN (Print)1581138792, 9781581138795
DOIs
StatePublished - 2004
EventSenSys'04 - Proceedings of the Second International Conference on Embedded Networked Sensor Systems - Baltimore, MD, United States
Duration: Nov 3 2004Nov 5 2004

Publication series

NameSenSys'04 - Proceedings of the Second International Conference on Embedded Networked Sensor Systems

Other

OtherSenSys'04 - Proceedings of the Second International Conference on Embedded Networked Sensor Systems
Country/TerritoryUnited States
CityBaltimore, MD
Period11/3/0411/5/04

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Computer Networks and Communications

Keywords

  • Localization
  • Wireless Local Area Networks

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