Open AccessEfficient Energy Conservation using ARM Algorithm in Wireless Sensor Networks
Author(s) -
T. Abirami,
S. Anandamurugan,
H Muthukrishnan.,
S Vinothkumar.
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k2480.0981119
Subject(s) - wireless sensor network , software deployment , agriculture , ranking (information retrieval) , computer science , association rule learning , data mining , computer network , machine learning , geography , archaeology , operating system
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