Proceedings of the First International Conference on Information Science and Electronic Technology

Improving Location Algorithm Based on Fuzzy Cluster in WSN

Authors
Xing Fang, Zhihong Qian, Chuxi Yang, Liang Qian
Corresponding Author
Xing Fang
Available Online March 2015.
DOI
https://doi.org/10.2991/iset-15.2015.18How to use a DOI?
Keywords
WSN, Multilateration, Fuzzy cluster, Location
Abstract
To reduce the impact of distance information errors, an improved location algorithm in WSN based on fuzzy clustering is proposed. It is explored that clustering methodology is employed to wireless sensor network localization schemes. By cluster analysis, the novel algorithm can figure out the distance data which are far more beyond their true value, and then removes those data from the measured distance data. Then multilateration is adopted with the rest distance data, obtaining the final results. Simulation experiments indicate that the improved algorithm can reduce location errors effectively and has more stable location results in a variety of error environment comparing with the original multilateration algorithm.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
First International Conference on Information Science and Electronic Technology (ISET 2015)
Part of series
Advances in Computer Science Research
Publication Date
March 2015
ISBN
978-94-62520-50-9
DOI
https://doi.org/10.2991/iset-15.2015.18How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xing Fang
AU  - Zhihong Qian
AU  - Chuxi Yang
AU  - Liang Qian
PY  - 2015/03
DA  - 2015/03
TI  - Improving Location Algorithm Based on Fuzzy Cluster in WSN
BT  - First International Conference on Information Science and Electronic Technology (ISET 2015)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/iset-15.2015.18
DO  - https://doi.org/10.2991/iset-15.2015.18
ID  - Fang2015/03
ER  -