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Target coverage through distributed clustering in directional sensor networks

Islam, Md. Mofijul, Ahasanuzzaman, Md., Razzaque, Md. Abdur, Hassan, Mohammad Mehedi, Alelaiwi, Abdulhameed and Xiang, Yang 2015, Target coverage through distributed clustering in directional sensor networks, EURASIP journal on wireless communications and networking, vol. 2015, Article number: 167, pp. 1-18, doi: 10.1186/s13638-015-0394-2.

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Title Target coverage through distributed clustering in directional sensor networks
Author(s) Islam, Md. Mofijul
Ahasanuzzaman, Md.
Razzaque, Md. Abdur
Hassan, Mohammad Mehedi
Alelaiwi, Abdulhameed
Xiang, Yang
Journal name EURASIP journal on wireless communications and networking
Volume number 2015
Season Article number: 167
Start page 1
End page 18
Total pages 18
Publisher SpringerOpen
Place of publication Heidelberg, Germany
Publication date 2015-06-12
ISSN 1687-1472
1687-1499
Keyword(s) Science & Technology
Technology
Engineering, Electrical & Electronic
Telecommunications
Engineering
Directional sensor networks
Target coverage
Distributed algorithm
Network lifetime
Cluster
Summary Maximum target coverage with minimum number of sensor nodes, known as an MCMS problem, is an important problem in directional sensor networks (DSNs). For guaranteed coverage and event reporting, the underlying mechanism must ensure that all targets are covered by the sensors and the resulting network is connected. Existing solutions allow individual sensor nodes to determine the sensing direction for maximum target coverage which produces sensing coverage redundancy and much overhead. Gathering nodes into clusters might provide a better solution to this problem. In this paper, we have designed distributed clustering and target coverage algorithms to address the problem in an energy-efficient way. To the best of our knowledge, this is the first work that exploits cluster heads to determine the active sensing nodes and their directions for solving target coverage problems in DSNs. Our extensive simulation study shows that our system outperforms a number of state-of-the-art approaches.
Language eng
DOI 10.1186/s13638-015-0394-2
Field of Research 0906 Electrical And Electronic Engineering
0806 Information Systems
1005 Communications Technologies
080501 Distributed and Grid Systems
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30077751

Document type: Journal Article
Collections: School of Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.