Energy Efficient Wireless Sensor Network for Precision Agriculture

Authors

  • Dr. T. Abirami  Associate Professor, Department of Information Technology, Kongu Engineering College, Erode, Tamil Nadu, India
  • B. Bhuvaneswari  Assistant Professor, Department of Information Technology, Kongu Engineering College, Erode, Tamil Nadu, India

DOI:

https://doi.org//10.32628/IJSRSET196220

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 computer programs from healthcare to agriculture to (related to surrounding conditions or the health of the Earth) and military operations. India is basically a country with (good) enough valuable things from nature and focussed on farming adding/giving to its (process of people making, selling, and buying things) and (the social level people are at based on how much money they have). In the farming-based (surrounding conditions) watching/supervising area, WSN plays a big part because of its (producing a lot for a given amount of money) and comfortable use/military service of WSN. WSN is in need to (make something as small as possible/treat something important as unimportant) the energy use through (not operating or working now, but able to), transmission, etc. It needs/demands added/more energy (producing a lot with very little waste) way of doing things with data (quality of being very close to the truth or true number) leads to long life for watching/supervising farm-related field. A powerful tool that can create huge and (many different kinds of people or things) data including farming-based 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 farming-based sensor network which measures temperature, soil moisture, humidity and ARM based on ranking.

References

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Published

2019-04-30

Issue

Section

Research Articles

How to Cite

[1]
Dr. T. Abirami, B. Bhuvaneswari, " Energy Efficient Wireless Sensor Network for Precision Agriculture , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 6, Issue 2, pp.98-105, March-April-2019. Available at doi : https://doi.org/10.32628/IJSRSET196220