Passive localization: Large size sensor network localization based on environmental events

Young Min Kwon, Gul A Agha

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

Abstract

We develop a localization algorithm based on global environmental events observed by a sensor network. Examples of such events include the sound of thunder, the shades of moving clouds, or the vibrations in seismic data. Because our localization method does not generate signals for distance measurements, it saves energy. In fact, the algorithm may use existing sensor recordings to determine the locations of nodes at which the recordings were taken. Moreover, the method does not accumulate errors, making it also effective for large and sparse sensor networks. The localization uses time synchronization; we provide an algorithm to compensate for clock synchronization errors. Versions for both two dimensional and three dimensional localization of the algorithm are presented. Simulation results suggest that the algorithm can provide a high degree of accuracy when many events are recorded.

Original languageEnglish (US)
Title of host publicationProceedings - 2008 International Conference on Information Processing in Sensor Networks, IPSN 2008
Pages3-14
Number of pages12
DOIs
StatePublished - Sep 12 2008
Event2008 International Conference on Information Processing in Sensor Networks, IPSN 2008 - St. Louis, MO, United States
Duration: Apr 22 2008Apr 24 2008

Publication series

NameProceedings - 2008 International Conference on Information Processing in Sensor Networks, IPSN 2008

Other

Other2008 International Conference on Information Processing in Sensor Networks, IPSN 2008
CountryUnited States
CitySt. Louis, MO
Period4/22/084/24/08

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Electrical and Electronic Engineering

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