Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)

An Energy Balanced Clustering Algorithm Based on LEACH Protocol

Authors
Qian Liao, Hao Zhu
Corresponding Author
Qian Liao
Available Online April 2013.
DOI
10.2991/icsem.2013.15How to use a DOI?
Keywords
WSN, LEACH, cluster-head selection, energy balanced, network lifetime
Abstract

The primary objectives of the wireless sensor network routing protocol design are balancing network energy consumption and extending the entire network lifetime. This paper analyses the effectiveness of LEACH protocol in cluster-head selection, and proposes an improved clustering algorithm. This new algorithm takes node’s residual energy and location information into account, optimizes the selection method of the threshold for electing cluster-head, improves optimal cluster-head selection strategy that is normal nodes select the optimal cluster-head based on the cost function. Simulation results show that the improved protocol is better than LEACH in balancing node energy consumption, improving the efficiency of data transmission and prolonging the network life.

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 Systems Engineering and Modeling (ICSEM 2013)
Series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
10.2991/icsem.2013.15
ISSN
1951-6851
DOI
10.2991/icsem.2013.15How 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  - Qian Liao
AU  - Hao Zhu
PY  - 2013/04
DA  - 2013/04
TI  - An Energy Balanced Clustering Algorithm Based on LEACH Protocol
BT  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 72
EP  - 77
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.15
DO  - 10.2991/icsem.2013.15
ID  - Liao2013/04
ER  -