Improving Location Algorithm Based on Fuzzy Cluster in WSN

DOI

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the First International Conference on Information Science and Electronic Technology
PB  - Atlantis Press
SP  - 67
EP  - 69
SN  - 2352-538X
UR  - https://doi.org/10.2991/iset-15.2015.18
DO  - 10.2991/iset-15.2015.18
ID  - Fang2015/03
ER  -