Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

Research on Node Localization Algorithm in WSN basing Machine Learning

Authors
Qingzhang Chen, Yuzheng Chen, Congling Fan, Fan Yang, Peng Wang
Corresponding Author
Qingzhang Chen
Available Online May 2014.
DOI
https://doi.org/10.2991/iccia.2012.10How to use a DOI?
Keywords
wireless sensor network, node localization, support vector machine, region classification, coverage hole
Abstract

Machine learning uses experience to improve its performance. Using Machine Learing, to locate the nodes in wireless sensor network. The basic idea is that: the network area is divided into several equal portions of small grids, each gird represents a certain class of Machine Learning algorithm. After Machine Learning algorithm has learnt the parameters using the known beacon nodes, it can classify the unknown nodes’ location classes, and further determine their coordinates. For the SVM OneAgainstOne Location Algorithm, the results of simulation show that it has a high localization accuracy and a better tolerance for the ranging error, while it doesn’t require a high beacon node ratio. For the SVM Decision Tree Location Algorithm, the results show that this algorithm is not affected seriously by coverage holes, it is suitable for the network environment of nonuniformity distribution or existing coverage holes.

Copyright
© 2013, 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 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-91216-41-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccia.2012.10How to use a DOI?
Copyright
© 2013, 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  - Qingzhang Chen
AU  - Yuzheng Chen
AU  - Congling Fan
AU  - Fan Yang
AU  - Peng Wang
PY  - 2014/05
DA  - 2014/05
TI  - Research on Node Localization Algorithm in WSN basing Machine Learning
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 43
EP  - 46
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.10
DO  - https://doi.org/10.2991/iccia.2012.10
ID  - Chen2014/05
ER  -