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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
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ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 644266260
doi: 10.4316/AECE


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  1/2016 - 6

HIGH: A Hexagon-based Intelligent Grouping Approach in Wireless Sensor Networks

FAN, C.-S. See more information about FAN, C.-S. on SCOPUS See more information about FAN, C.-S. on IEEExplore See more information about FAN, C.-S. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,229 KB) | Citation | Downloads: 244 | Views: 396

Author keywords
wireless sensor networks, cluster head, energy efficiency, coverage ratio

References keywords
sensor(27), networks(20), deployment(11), systems(7), random(5), chen(5), information(4), computing(4), communications(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2016-02-28
Volume 16, Issue 1, Year 2016, On page(s): 41 - 46
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.01006
Web of Science Accession Number: 000376995400006
SCOPUS ID: 84960075118

Abstract
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In a random deployment or uniform deployment strategy, sensor nodes are scattered randomly or uniformly in the sensing field, respectively. Hence, the coverage ratio cannot be guaranteed. The coverage ratio of uniform deployment, in general, is larger than that of the random deployment strategy. However, a random deployment or uniform deployment strategy may cause unbalanced traffic pattern in wireless sensor networks (WSNs). Therefore, cluster heads (CHs) around the sink have larger loads than those farther away from the sink. That is, CHs close to the sink exhaust their energy earlier. In order to overcome the above problem, we propose a Hexagon-based Intelligent Grouping approacH in WSNs (called HIGH). The coverage, energy consumption and data routing issues are well investigated and taken into consideration in the proposed HIGH scheme. The simulation results validate our theoretical analysis and show that the proposed HIGH scheme achieves a satisfactory coverage ratio, balances the energy consumption among sensor nodes, and extends network lifetime significantly.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef]


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[CrossRef]




References Weight

Web of Science® Citations for all references: 3,415 TCR
SCOPUS® Citations for all references: 5,943 TCR

Web of Science® Average Citations per reference: 137 ACR
SCOPUS® Average Citations per reference: 238 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2016-12-09 01:18 in 129 seconds.




Note1: Web of Science® is a registered trademark of Thomson Reuters.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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