Article

Calibration as parameter estimation in sensor networks

Authors:

Kamin Whitehouse,

David CullerAuthors Info & Claims

WSNA '02: Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications

Pages 59 - 67

https://doi.org/10.1145/570738.570747

Published: 28 September 2002 Publication History

Abstract

We describe an ad-hoc localization system for sensor networks and explain why traditional calibration methods are inadequate for this system. Building upon previous work, we frame calibration as a parameter estimation problem; we parameterize each device and choose the values of those parameters that optimize the overall system performance. This method reduces our average error from 74.6% without calibration to 10.1%. We propose ways to expand this technique to a method of autocalibration for localization as well as to other sensor network applications.

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Calibration as parameter estimation in sensor networks

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Published In

cover image ACM Conferences

WSNA '02: Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications

September 2002

146 pages

ISBN:1581135890

DOI:10.1145/570738

Program Chairs:
C. S. Raghavendra
University of Southern California
,
Krishna M. Sivalingam
University of Maryland, Baltimore County

Copyright © 2002 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 28 September 2002

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WSNA02

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WSNA02: First ACM International Workshop on Wireless Sensor Networks and Applications 2002

September 28, 2002

Georgia, Atlanta, USA

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WSNA '02 Paper Acceptance Rate 15 of 60 submissions, 25%;

Overall Acceptance Rate 15 of 60 submissions, 25%

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https://doi.org/10.3390/s24041255
Liu YYang ZLiu YYang Z(2024)Physical MeasurementsLocation, Localization, and Localizability10.1007/978-981-97-3176-3_2(9-32)Online publication date: 12-Jul-2024
https://doi.org/10.1007/978-981-97-3176-3_2
Yurchenkov A(2023)Default Sensor Network Setup based on the Anisotropic CriterionHerald of the Bauman Moscow State Technical University. Series Natural Sciences10.18698/1812-3368-2023-1-45-63(45-63)Online publication date: Feb-2023
https://doi.org/10.18698/1812-3368-2023-1-45-63
Yurchenkov AKustov A(2022)Anisotropy-Based Approach to Communication Tuning for a Time-Varying Sensor Network SystemDoklady Mathematics10.1134/S1064562421050173104:2(311-315)Online publication date: 3-Feb-2022
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