Proceedings of the 2nd International Conference on Management Science and Industrial Engineering

A random sound source localization algorithm based on WSN

Authors
Hongtao Bai, Bin Li, Lili He, Ying Liu
Corresponding Author
Hongtao Bai
Available Online November 2013.
DOI
10.2991/msie-13.2013.96How to use a DOI?
Keywords
WSN, sound source localization, clustering, least square
Abstract

Traditional sound source localization algorithm depends on high accuracy sensor array. A new algorithm based random sensor location is proposed using wireless sensor network in this paper. This algorithm adopts the least square method to estimate sound source location, through computing the delay among some sensor nodes with random location information of themselves. In addition, we introduce threshold to reduce the iteration error and clustering method to decrease the time complexity. Simulation experiment results show that this algorithm has a larger detection range than current algorithms, and acquire accuracy position at the same time.

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 2nd International Conference on Management Science and Industrial Engineering
Series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
10.2991/msie-13.2013.96
ISSN
1951-6851
DOI
10.2991/msie-13.2013.96How 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  - Hongtao Bai
AU  - Bin Li
AU  - Lili He
AU  - Ying Liu
PY  - 2013/11
DA  - 2013/11
TI  - A random sound source localization algorithm based on WSN
BT  - Proceedings of the 2nd International Conference on Management Science and Industrial Engineering
PB  - Atlantis Press
SP  - 451
EP  - 454
SN  - 1951-6851
UR  - https://doi.org/10.2991/msie-13.2013.96
DO  - 10.2991/msie-13.2013.96
ID  - Bai2013/11
ER  -