Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control

Clustering Nodes Selection Mechanism in Energy Heterogeneous Farmland Wireless Sensor Networks

Authors
Dayong Liu, Chunjiang Zhao, Huarui Wu, Feifei Li
Corresponding Author
Dayong Liu
Available Online April 2016.
DOI
10.2991/icmemtc-16.2016.224How to use a DOI?
Keywords
Wireless Sensor Networks; Energy Heterogeneous; Selection Mechanism; Farmland
Abstract

Solar-powered nodes have been employed in farmland wireless sensor networks to prolong the lifetime, which can increase the cost at the same time. The energy acquisition mode of solar-powered node is intermittent and nonlinear, because it is easy to be influenced by the external factors. In this paper, a fuzzy prediction method of the solar energy using the weather forecast is proposed, and then a fuzzy selection method to distinguish the different types of nodes is proposed. Simulation results show that the proposed method can improve the network throughput and reduce the energy consumption of nodes.

Copyright
© 2016, 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 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
978-94-6252-173-5
ISSN
2352-5401
DOI
10.2991/icmemtc-16.2016.224How to use a DOI?
Copyright
© 2016, 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  - Dayong Liu
AU  - Chunjiang Zhao
AU  - Huarui Wu
AU  - Feifei Li
PY  - 2016/04
DA  - 2016/04
TI  - Clustering Nodes Selection Mechanism in Energy Heterogeneous Farmland Wireless Sensor Networks
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1132
EP  - 1135
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.224
DO  - 10.2991/icmemtc-16.2016.224
ID  - Liu2016/04
ER  -