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    Abstract
2017 (Vol. 14, Issue: 12)
Research Article

A Power Efficient Clustering Routing in Wireless Sensor Networks through MIN-MAX Approach

Rakesh Kumar Yadav and Rajendra Prasad Mahapatra
SRM University, NCR Campus Modinagar, Ghaziabad, India
 

DOI: 10.19026/rjaset.14.5146
Submitted Accepted Published
December 4, 2016 March 23, 2017 December 15, 2017

  How to Cite this Article:

Rakesh Kumar Yadav and Rajendra Prasad Mahapatra, 2017. A Power Efficient Clustering Routing in Wireless Sensor Networks through MIN-MAX Approach.  Research Journal of Applied Sciences, Engineering and Technology, 14(12): 445-449.

DOI: 10.19026/rjaset.14.5146

URL: http://www.maxwellsci.com/jp/mspabstract.php?jid=RJASET&doi=rjaset.14.5146

Abstract:


The aim of this study is tobecome aware of the overall performance challenges regarding to Wireless Sensor Networks then analyzes their influenceof the overall performance concerning routing protocols. A several clustering routing methods exist for data gathering of wide applications for WSNs. Sensors bring out useful data onto the surroundings; this data has to be routed through various intermediary motes to arrive at the destination. That data may essentially, reaches the destination is one of the prime functions of sensor networks. This study proposes, A Power Efficient Clustering Routing Protocol for WSNs, which conserves energy using MIN-MAX approached for cluster head selection. Clustering produces enough space for extending the lifetime of a sensor networks. The research seeks to compare with the well-known routing protocols namely: LEACH, PEGASIS and TEEN. Simulation results shows proposed protocol APECRP gives better results than the existing clustering routing protocols.

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    Competing interests

The authors have no competing interests.
    Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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© The Author(s) 2017

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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