Adaptive quantization and distributed estimation for bandwidth-constraint sensor networks

Hongbin Li, Jun Fang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, the problem of distributed parameter estimation in a wireless sensor network is considered, where due to bandwidth constraint, each sensor node sends only one bit of information per sample to a fusion center. We propose a new distributed adaptive quantization scheme by which each individual sensor node dynamically adjusts the threshold of its quantizer based on earlier transmissions from other sensor nodes. The maximum likelihood estimator (MLE) and the Cramér-Rao bound (CRB) associated with our distributed adaptive quantization scheme are derived. Numerical results depicting the performance and advantages of our approach over a fixed quantization scheme are presented.

Original languageEnglish
Title of host publicationProceedings - 2007 IEEE International Symposium on Information Theory, ISIT 2007
Pages631-635
Number of pages5
DOIs
StatePublished - 2007
Event2007 IEEE International Symposium on Information Theory, ISIT 2007 - Nice, France
Duration: 24 Jun 200729 Jun 2007

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8101

Conference

Conference2007 IEEE International Symposium on Information Theory, ISIT 2007
Country/TerritoryFrance
CityNice
Period24/06/0729/06/07

Keywords

  • Adaptive quantization
  • Distributed estimation
  • Wireless sensor networks

Fingerprint

Dive into the research topics of 'Adaptive quantization and distributed estimation for bandwidth-constraint sensor networks'. Together they form a unique fingerprint.

Cite this