Achieving range-free localization beyond connectivity

Ziguo Zhong, Tian He

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

85 Scopus citations

Abstract

Wireless sensor networks have been proposed for many location-dependent applications. In such applications, the requirement of low system cost prohibits many range-based methods for sensor node localization; on the other hand, range-free localization depending only on connectivity may underutilize the proximity information embedded in neighborhood sensing. In response to the above limitations, this paper presents a range-free approach to capturing a relative distance between 1-hop neighboring nodes from their neighborhood orderings that serve as unique high-dimensional location signatures for nodes in the network. With little overhead, the proposed design can be conveniently applied as a transparent supporting layer for many state-of-the-art connectivity-based localization solutions to achieve better positioning accuracy. We implemented our design with three well-known localization algorithms and tested it in two types of outdoor test-bed experiments: an 850-foot-long linear network with 54 MICAz motes, and a regular 2D network covering an area of 10000 square feet with 49 motes. Results show that our design helps eliminate estimation ambiguity with sub-hop resolution, and reduces localization errors by as much as 35%. In addition, extensive simulations reveal an interesting feature of robustness for our design under unevenly distributed radio propagation path loss, and confirm its effectiveness for large-scale networks.

Original languageEnglish (US)
Title of host publicationProceedings of the 7th ACM Conference on Embedded Networked Sensor Systems, SenSys 2009
Pages281-294
Number of pages14
DOIs
StatePublished - 2009
Event7th ACM Conference on Embedded Networked Sensor Systems, SenSys 2009 - Berkeley, CA, United States
Duration: Nov 4 2009Nov 6 2009

Publication series

NameProceedings of the 7th ACM Conference on Embedded Networked Sensor Systems, SenSys 2009

Other

Other7th ACM Conference on Embedded Networked Sensor Systems, SenSys 2009
Country/TerritoryUnited States
CityBerkeley, CA
Period11/4/0911/6/09

Keywords

  • Range-free localization
  • Wireless sensor networks

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