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Relative location estimation in wireless sensor networks

Patwari, N., Hero, A.O., Perkins, M., Correal, N.S., O'Dea, R.J.·2003·IEEE Transactions on Signal Processing

Abstract

Self-configuration in wireless sensor networks is a general class of estimation problems that we study via the Cramer-Rao bound (CRB). Specifically, we consider sensor location estimation when sensors measure received signal strength (RSS) or time-of-arrival (TOA) between themselves and neighboring sensors. A small fraction of sensors in the network have a known location, whereas the remaining locations must be estimated. We derive CRBs and maximum-likelihood estimators (MLEs) under Gaussian and log-normal models for the TOA and RSS measurements, respectively. An extensive TOA and RSS measurement campaign in an indoor office area illustrates MLE performance. Finally, relative location estimation algorithms are implemented in a wireless sensor network testbed and deployed in indoor and outdoor environments. The measurements and testbed experiments demonstrate 1-m RMS location errors using TOA, and 1- to 2-m RMS location errors using RSS.

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Metadata

Authors
Patwari, N., Hero, A. O., Perkins, M., Correal, N. S., & O'Dea, R. J.
Venue
IEEE Transactions on Signal Processing
Published
2003-08
Volume
51
Issue
8
Pages
2137-2148
ISSN
1053-587X (ISSN-L)
OpenAlex
W2124178852
Cited by
1,879
References
0
FWCI
53.97
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Relative location estimation in wireless sensor networks. https://app.cochat.ai/papers/10.1109/tsp.2003.814469
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Patwari, N., Hero, A. O., Perkins, M., Correal, N. S., & O'Dea, R. J. (2003). Relative location estimation in wireless sensor networks. IEEE Transactions on Signal Processing. https://doi.org/10.1109/tsp.2003.814469

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