Adaptive local quantizer design for tracking in a wireless sensor network

Onur Ozdemir, Ruixin Niu, Pramod K. Varshney

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

10 Scopus citations

Abstract

We investigate the problem of tracking a target using a wireless sensor network, where quantized sensor measurements are utilized because of inherent communication and energy constraints. Due to the severe nonlinearity of the measurement model, we resort to sequential Monte Carlo methods for tracking, i.e., particle filters. The tracking performance is a function of local sensor quantizer thresholds. We propose a new dynamic adaptive local quantizer design approach along with some practical implementation considerations. Simulation results are presented to demonstrate the significant performance improvement achieved by our quantizer design technique.

Original languageEnglish (US)
Title of host publication2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
Pages1202-1206
Number of pages5
DOIs
StatePublished - Dec 1 2008
Event2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008 - Pacific Grove, CA, United States
Duration: Oct 26 2008Oct 29 2008

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
CountryUnited States
CityPacific Grove, CA
Period10/26/0810/29/08

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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    Ozdemir, O., Niu, R., & Varshney, P. K. (2008). Adaptive local quantizer design for tracking in a wireless sensor network. In 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008 (pp. 1202-1206). [5074606] (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2008.5074606