Author(s): Nallakaruppan M.K, P. Ilango, N. Deepa, Anand Muthukumarappan

Email(s): nallakaruppan.mk@vit.ac.in , pilango@vit.ac.in , deepa.rajech@vit.ac.in , anandm@ict.edu.om

DOI: 10.5958/0974-360X.2017.00019.1   

Address: Nallakaruppan M.K1 , Dr. P. Ilango2 , N. Deepa1 , Anand Muthukumarappan3
1Assistant Professor, VIT University, Vellore, India.
2Senior Professor, VIT University, Vellore, India
3Assistant Professor, Department of Information Technology, Ibra College of Technology, Sultanate of Oman
*Corresponding Author

Published In:   Volume - 10,      Issue - 1,     Year - 2017


ABSTRACT:
A number of parameters are factored in when the issues of routing pop up in wireless sensor networks. The variations in the routes, which a packet traces, are indeterminate because of the continuously changing locations of the mobile devices due to which the topology of these mobile networks keep altering. Energy efficiency is another attribute to consider while judging the performance of the dynamics of wireless sensor networks. Besides, power management also counts as an inevitable entity, which needs to be an essential component when it comes in determining the efficiency of a wireless sensor network. In this paper, the clustering of sensory data is performed along with keeping a check on the performance constraints of the network.


Cite this article:
Nallakaruppan M.K , P. Ilango , N. Deepa , Anand Muthukumarappan. Clustering of Wireless Sensor Network Data. Research J. Pharm. and Tech. 2017; 10(1): 73-82. doi: 10.5958/0974-360X.2017.00019.1

Cite(Electronic):
Nallakaruppan M.K , P. Ilango , N. Deepa , Anand Muthukumarappan. Clustering of Wireless Sensor Network Data. Research J. Pharm. and Tech. 2017; 10(1): 73-82. doi: 10.5958/0974-360X.2017.00019.1   Available on: https://rjptonline.org/AbstractView.aspx?PID=2017-10-1-19


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RNI: CHHENG00387/33/1/2008-TC                     
DOI: 10.5958/0974-360X 

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