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An Exploration of Current Data Agglomeration Technique in Wireless Sensor Network
M. J. Rhesa1, S. Revathi2

1M. J. Rhesa*, School of Electronics Engineering, Vellore Institute of Technology, Vellore, India.
2S.Revathi, Ph.D in Optical Engineering, School of Electronics Engineering, Vellore Institute of Technology, Vellore, India. 

Manuscript received on May 30, 2020. | Revised Manuscript received on June 08, 2020. | Manuscript published on June 30, 2020. | PP: 732-746 | Volume-9 Issue-5, June 2020. | Retrieval Number: E9707069520/2020©BEIESP | DOI: 10.35940/ijeat.E9707.069520
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© 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: Wireless sensor network plays prominently in various applications of the emerging advanced wireless technology such as smart homes, Commercial, defence sector and modern agriculture for effective communication. There are many issues and challenges involved during the communication process. Energy conservation is the major challenging matter and fascinates issue among the researchers. The reason for that, Wireless sensor network has ‘n’ number of sensor nodes to identify and recognize the data and send that data to the base station or sink through either directly or intermediate node. These nodes with poor energy create intricacy on the data rate or flow and substantially affect the lifespan of a wireless sensor network. To decrease energy utilization the sensor node has to neglect unnecessary received data from the neighbouring nodes prior to send the optimum data to the sink or another device. When a specific target is held in a particular sector, it can be identified by many sensors. To rectify such process this paper present Data agglomeration technique is one of the persuasive techniques in the neglecting unnecessary data and of improves energy efficiency and also it increases the lifetime of WSNs. The efficacious data aggregation paradigm can also decrease traffic in the network. This paper discussed various data agglomeration technique for efficient energy in WSN. 
Keywords: Data Agglomeration, Clustering, energy-efficient, routing.