Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

Flow Simulation Based Energy Efficient Clustering in Wireless Sensor Network

Authors
Yi Jiang
Corresponding Author
Yi Jiang
Available Online January 2017.
DOI
https://doi.org/10.2991/icmmita-16.2016.2How to use a DOI?
Keywords
flow simulation; clustering; wireless sensor network.
Abstract

The paper introduces a flow simulation based clustering algorithm for wireless sensor network. The algorithm is fully decentralized. The proposed algorithm is inspired by simulating flow in the network. The algorithm clusters the nodes that are at distance of at most k hops from the cluster head while balance the energy dissipation among sensor nodes. By grouping sensor nodes into clusters, the performance of the mobile network, such as power dissipation, can be optimized. The preliminary simulation results show that the proposed algorithm is efficient.

Copyright
© 2017, 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 4th International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
January 2017
ISBN
978-94-6252-285-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmita-16.2016.2How to use a DOI?
Copyright
© 2017, 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  - Yi Jiang
PY  - 2017/01
DA  - 2017/01
TI  - Flow Simulation Based Energy Efficient Clustering in Wireless Sensor Network
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 8
EP  - 13
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.2
DO  - https://doi.org/10.2991/icmmita-16.2016.2
ID  - Jiang2017/01
ER  -