Proceedings of the International Conference for Phoenixes on Emerging Current Trends in Engineering and Management (PECTEAM 2018)

Energy Efficient Wireless Sensor Network For Precision Agriculture

Authors
M S Maharajan, Dr T Abirami, S Anitha
Corresponding Author
M S Maharajan
Available Online February 2018.
DOI
10.2991/pecteam-18.2018.23How to use a DOI?
Keywords
Agricultural environment monitoring, Association Rule Mining (ARM), Data mining, Ranking of association rules.
Abstract

Wireless Sensor Network (WSN) is the latest technology which provides the best and cheaper solution for a broad range of applications from healthcare to agriculture to environmental and military operations. India is basically a country with sufficient natural resources and focussed on agriculture contributing to its economy and socioeconomic status. In the agricultural environment monitoring area, WSN plays a major role because of its cost-effective and comfortable deployment of WSN. WSN is in need to minimize the energy consumption through idle, transmission, etc. It requires additional energy efficient technique with data accuracy leads to long life for monitoring agriculture field. A powerful tool that can generate vast and diverse data including agricultural datasets is Association Rule Mining (ARM). A topic that is of attention in data mining of late is ranking of association rules. This work deals with agricultural sensor network which measures temperature, soil moisture, humidity and ARM based on ranking.

Copyright
© 2018, 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 International Conference for Phoenixes on Emerging Current Trends in Engineering and Management (PECTEAM 2018)
Series
Advances in Engineering Research
Publication Date
February 2018
ISBN
10.2991/pecteam-18.2018.23
ISSN
2352-5401
DOI
10.2991/pecteam-18.2018.23How to use a DOI?
Copyright
© 2018, 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  - M S Maharajan
AU  - Dr T Abirami
AU  - S Anitha
PY  - 2018/02
DA  - 2018/02
TI  - Energy Efficient Wireless Sensor Network For Precision Agriculture
BT  - Proceedings of the International Conference for Phoenixes on Emerging Current Trends in Engineering and Management (PECTEAM 2018)
PB  - Atlantis Press
SP  - 131
EP  - 136
SN  - 2352-5401
UR  - https://doi.org/10.2991/pecteam-18.2018.23
DO  - 10.2991/pecteam-18.2018.23
ID  - Maharajan2018/02
ER  -