Conference proceeding
Robust Calibration for Localization in Clustered Wireless Sensor Networks
2007 IEEE International Conference on Automation Science and Engineering, pp.919-924
09/2007
DOI: 10.1109/COASE.2007.4341675
Abstract
This paper presents a robust calibration procedure for a clustered wireless sensor network. The calibration problem is often formulated as a parameter estimation problem using a linear calibration model. For reducing or eliminating unwanted influences of measurement corruptions or outliers on parameter estimation, a robust regression estimator is a natural choice. In order to solve a robust estimation problem more efficiently, we utilize cluster structure in a network configuration and decompose a large network into smaller subsystems that can be solved much faster. To this end, we present two algorithms for a robust calibration procedure. Two examples are presented to illustrate how the proposed methods enable robust calibration in a sensor network.
Details
- Title: Subtitle
- Robust Calibration for Localization in Clustered Wireless Sensor Networks
- Creators
- Jung Jin Cho - Texas A&M UniversityYu Ding - Texas A&M UniversityYong Chen - University of IowaJiong Tang - University of Connecticut
- Resource Type
- Conference proceeding
- Publication Details
- 2007 IEEE International Conference on Automation Science and Engineering, pp.919-924
- Publisher
- IEEE
- DOI
- 10.1109/COASE.2007.4341675
- ISSN
- 2161-8070
- eISSN
- 2161-8089
- Language
- English
- Date published
- 09/2007
- Academic Unit
- Industrial and Systems Engineering
- Record Identifier
- 9984187054702771
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