Cramer-rao bound analysis of quantized RSSI based localization in wireless sensor networks

  • Hongchi Shi*
  • , Xiaoli Li
  • , Yi Shang
  • , Dianfu Ma
  • *Corresponding author for this work

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

Abstract

Localizing sensor nodes in a distributed system of wireless sensors is an essential process for self-organizing wireless sensor networks. Localization is a fundamental problem in wireless sensor networks, and the behavior of localization has not been thoroughly studied. In this paper, we formulate the quantized received signal strength indicator based localization as a parameter estimation problem and derive the Cramer-Rao lower bound for the localization problem. We study the effect of quantization level and network configuration parameters on the lower bound of localization error variance and understand the relationship between network configuration and localization accuracy.

Original languageEnglish
Title of host publicationProceedings - 11th International Conference on Parallel and Distributed Systems Workshops, ICPADS 2005
EditorsJ. Ma, L.T. Yang
Pages32-36
Number of pages5
DOIs
StatePublished - 2005
Event11th International Conference on Parallel and Distributed Systems Workshops, ICPADS 2005 - Fukuoka, Japan
Duration: 20 Jul 200522 Jul 2005

Publication series

NameProceedings of the International Conference on Parallel and Distributed Systems - ICPADS
Volume2
ISSN (Print)1521-9097

Conference

Conference11th International Conference on Parallel and Distributed Systems Workshops, ICPADS 2005
Country/TerritoryJapan
CityFukuoka
Period20/07/0522/07/05

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