Cramer-Rao bound analysis of location estimation in multi-hop wireless sensor networks

Zuoyin Tang, Jianhua He

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

Abstract

Location estimation is important for wireless sensor network (WSN) applications. In this paper we propose a Cramer-Rao Bound (CRB) based analytical approach for two centralized multi-hop localization algorithms to get insights into the error performance and its sensitivity to the distance measurement error, anchor node density and placement. The location estimation performance is compared with four distributed multi-hop localization algorithms by simulation to evaluate the efficiency of the proposed analytical approach. The numerical results demonstrate the complex tradeoff between the centralized and distributed localization algorithms on accuracy, complexity and communication overhead. Based on this analysis, an efficient and scalable performance evaluation tool can be designed for localization algorithms in large scale WSNs, where simulation-based evaluation approaches are impractical.

Original languageEnglish
Title of host publication8th international ICST conference on Communications and networking in China (CHINACOM)
Subtitle of host publicationproceedings
Place of PublicationPiscataway, NJ (US)
PublisherIEEE
Pages389-394
Number of pages6
ISBN (Print)978-1-4799-1406-7
DOIs
Publication statusPublished - 2013
Event8th international ICST conference on Communications and networking in China - Guilin, China
Duration: 14 Aug 201316 Aug 2013

Conference

Conference8th international ICST conference on Communications and networking in China
Abbreviated titleCHINACOM 2013
CountryChina
CityGuilin
Period14/08/1316/08/13

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  • A quality driven adaptation scheme for DASH streaming

    Bailey, C. & Peng, X-H., 2013, 8th international ICST conference on Communications and networking in China (CHINACOM): proceedings. Piscataway, NJ (US): IEEE, p. 308-313 6 p.

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

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