Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control

Wireless sensor network node localization algorithm based on chicken swarm optimization and multi-power mobile anchor

Authors
Peng Chen, Yongyi Mao
Corresponding Author
Peng Chen
Available Online April 2016.
DOI
10.2991/icmemtc-16.2016.47How to use a DOI?
Keywords
wireless sensor network; node localization; chicken swarm optimization(CSO); multi-power mobile anchor
Abstract

In order to enhance the statistic accuracy, a new algorithm based on chicken swarm optimization(CSO) and mobile anchor was established in WSN. Firstly, the distance measurement information of unknown nodes was acquired based on different power signal, which was launched by anchor moved in target area. Then the optimal solution was estimated iteratively by different chicken swarm identities, which were identified according to fitness value.That CSO was able to improved the convergence ability of algorithms by adjusting the searching direction in space adaptively. .Overall, the results indicated that the CSO algorithm has better positioning accuracy , and could be better applied in the field of WSN localization of node random distribution.

Copyright
© 2016, 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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Volume Title
Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
978-94-6252-173-5
ISSN
2352-5401
DOI
10.2991/icmemtc-16.2016.47How to use a DOI?
Copyright
© 2016, 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/).

Cite this article

TY  - CONF
AU  - Peng Chen
AU  - Yongyi Mao
PY  - 2016/04
DA  - 2016/04
TI  - Wireless sensor network node localization algorithm based on chicken swarm optimization and multi-power mobile anchor
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 245
EP  - 250
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.47
DO  - 10.2991/icmemtc-16.2016.47
ID  - Chen2016/04
ER  -