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2013 | OriginalPaper | Chapter

A Location-Estimation Experimental Platform Based on Error Propagation for Wireless Sensor Networks

Authors : Yih-Shyh Chiou, Sheng-Cheng Yeh, Shang-Hung Wu

Published in: Information Technology Convergence

Publisher: Springer Netherlands

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Abstract

This paper presents a location-estimation experimental platform based on the error propagation approach to reduce the computational load of traditional algorithms. For the experimental platform with the scalar information, the proposed technique based on the Bayesian approach is handled by a state space model; a weighted technique with the reliability of the information passing is based on the error propagation law. As compared with a traditional Kalman filtering (KF) algorithm, the proposed algorithm has much lower computational complexity with the decoupling approach. Numerical simulations and experimental results show that the proposed location-estimation algorithm can achieve the location accuracy close to that of the KF algorithm.

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Metadata
Title
A Location-Estimation Experimental Platform Based on Error Propagation for Wireless Sensor Networks
Authors
Yih-Shyh Chiou
Sheng-Cheng Yeh
Shang-Hung Wu
Copyright Year
2013
Publisher
Springer Netherlands
DOI
https://doi.org/10.1007/978-94-007-6996-0_16