Range-Free Localization Schemes for Large Scale Sensor Networks

Tian He, Chengdu Huang, Brian M. Blum, John A. Stankovic, Tarek Abdelzaher

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

2221 Scopus citations

Abstract

Wireless Sensor Networks have been proposed for a multitude of location-dependent applications. For such systems, the cost and limitations of the hardware on sensing nodes prevent the use of range-based localization schemes that depend on absolute point-to-point distance estimates. Because coarse accuracy is sufficient for most sensor network applications, solutions in range-free localization are being pursued as a cost-effective alternative to more expensive range-based approaches. In this paper, we present APIT, a novel localization algorithm that is range-free. We show that our APIT scheme performs best when an irregular radio pattern and random node placement are considered, and low communication overhead is desired. We compare our work via extensive simulation, with three state-of-the-art range-free localization schemes to identify the preferable system configurations of each. In addition, we study the effect of location error on routing and tracking performance. We show that routing performance and tracking accuracy are not significantly affected by localization error when the error is less than 0.4 times the communication radio radius.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
Pages81-95
Number of pages15
StatePublished - Dec 1 2003
EventProceedings of the Ninth Annual International Conference on Mobile Computing and Networking, MobiCom 2003 - San Diego, CA., United States
Duration: Sep 14 2003Sep 19 2003

Other

OtherProceedings of the Ninth Annual International Conference on Mobile Computing and Networking, MobiCom 2003
CountryUnited States
CitySan Diego, CA.
Period9/14/039/19/03

Keywords

  • Localization
  • Location discovery
  • Positioning
  • Sensor Networks

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