Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)

Optimal Power Consumption Analysis of Two-level Hierarchical Model and Non-hierarchical Model

Authors
Ganglin Zhang, Guangcan Liu, Weibing Chen, Cheng Yang
Corresponding Author
Ganglin Zhang
Available Online February 2013.
DOI
https://doi.org/10.2991/isccca.2013.125How to use a DOI?
Keywords
wireless sensor network (WSN),power consumption, two-level hierarchical, non-hierarchical
Abstract

Energy scarcity is one of the most critical problems that occur in wireless sensor networks compared to traditional networks. However, the problem has been partly solved by building the power consumption model of WSN. This paper is based on a simple wireless sensor network model, it gives the optimal location of the CH nodes in a cluster and the best parameter about how to divided the cluster amongst hierarchy networks. As shown last, the proposed scheme can save up to 95% of power consumption.

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 Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
Series
Advances in Intelligent Systems Research
Publication Date
February 2013
ISBN
978-90-78677-63-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/isccca.2013.125How 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  - Ganglin Zhang
AU  - Guangcan Liu
AU  - Weibing Chen
AU  - Cheng Yang
PY  - 2013/02
DA  - 2013/02
TI  - Optimal Power Consumption Analysis of Two-level Hierarchical Model and Non-hierarchical Model
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 503
EP  - 507
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.125
DO  - https://doi.org/10.2991/isccca.2013.125
ID  - Zhang2013/02
ER  -