Loading

Efficient Energy Conservation using ARM Algorithm in Wireless Sensor Networks
T. Abirami1, S. Anandamurugan2, H. Muthukrishnan3, S. Vinothkumar4

1Dr.T.Abirami, Associate professor, Kongu Engineering College, Erode 
2Dr. S. Anandamurugan Associate Professor Kongu Engineering College, Erode 
3Muthukrishnan.H, Assistant Professor, Kongu Engineering College, Erode Vinothkumar.S, Assistant Professor, Kongu Engineering College, Erode
Manuscript received on 20 August 2019. | Revised Manuscript received on 02 September 2019. | Manuscript published on 30 September 2019. | PP: 3515-3520 | Volume-8 Issue-11, September 2019. | Retrieval Number: K24800981119/2019©BEIESP | DOI: 10.35940/ijitee.K2480.0981119
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The Wireless Sensor Network (WSN) is that technology that provides ideal solutions that are cost-effective and used for a varied range of the applications that are used from environment to military operations, from healthcare to agriculture and so on. In the agricultural environment and its monitoring, the WSN will play a critical role owing to the cost effective and the comfortable WSN deployment. India is that country in which there are sufficient resources available naturally and these are based on the agriculture that contributes to the socioeconomic status and the economy. The very powerful tool which generates the vast as well as the diverse data that includes all the agricultural datasets is called Association Rule Mining (ARM). A very interesting topic in data mining in recent times is the association rules and their ranking. The work will deal with the network of agricultural sensors that measures the moisture of soil, the humidity, temperature and the ARM that is based on its ranking.
Keywords: Agricultural Environment Monitoring, Association Rule Mining (ARM), Data Mining and Ranking of Association Rules, Wireless Sensor Network (WSN).
Scope of the Article: Agricultural Informatics and Communication