Energy-Efficient Military Surveillance: Coverage Meets Connectivity

Thomas, D; Shankaran, R; Orgun, M; Hitchens, M; Ni, W

Energy-Efficient Military Surveillance: Coverage Meets Connectivity

Thomas, D Shankaran, R Orgun, M Hitchens, M Ni, W

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Publication Type:: Journal Article
Citation:: IEEE Sensors Journal, 2019, 19 (10), pp. 3902 - 3911
Issue Date:: 2019-05-15

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Field	Value	Language
dc.contributor.author	Thomas, D	en_US
dc.contributor.author	Shankaran, R	en_US
dc.contributor.author	Orgun, M	en_US
dc.contributor.author	Hitchens, M	en_US
dc.contributor.author	Ni, W https://orcid.org/0000-0002-4933-594X	en_US
dc.date.issued	2019-05-15	en_US
dc.identifier.citation	IEEE Sensors Journal, 2019, 19 (10), pp. 3902 - 3911	en_US
dc.identifier.issn	1530-437X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/135226
dc.description.abstract	© 2001-2012 IEEE. Sensor networks are increasingly being used in the development and application of military surveillance systems. Small size battery-powered sensor devices are deployed in unattended and hostile environments, such as battlefields to detect any physical intrusion. Energy efficiency, coverage, and connectivity are the three major quality-of-service requirements of such mission critical applications. Energy-efficient communication is required to prolong the network lifetime. Better coverage is required to detect the physical intrusion attempts of all kinds. Similarly, connectivity is necessary to provide mission critical messages to the base station in a timely manner. A scheme that satisfies energy efficiency, coverage, and connectivity requirements is an N-P complete problem. This paper proposes an energy-efficient node scheduling algorithm called EC2 that addresses the problems of energy efficiency, coverage, and connectivity in military surveillance applications using the fuzzy graphs.	en_US
dc.relation.ispartof	IEEE Sensors Journal	en_US
dc.relation.isbasedon	10.1109/JSEN.2019.2894899	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Analytical Chemistry	en_US
dc.title	Energy-Efficient Military Surveillance: Coverage Meets Connectivity	en_US
dc.type	Journal Article
utslib.citation.volume	10	en_US
utslib.citation.volume	19	en_US
utslib.for	0205 Optical Physics	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0913 Mechanical Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.issue	10	en_US
pubs.publication-status	Published	en_US
pubs.volume	19	en_US

Abstract:

© 2001-2012 IEEE. Sensor networks are increasingly being used in the development and application of military surveillance systems. Small size battery-powered sensor devices are deployed in unattended and hostile environments, such as battlefields to detect any physical intrusion. Energy efficiency, coverage, and connectivity are the three major quality-of-service requirements of such mission critical applications. Energy-efficient communication is required to prolong the network lifetime. Better coverage is required to detect the physical intrusion attempts of all kinds. Similarly, connectivity is necessary to provide mission critical messages to the base station in a timely manner. A scheme that satisfies energy efficiency, coverage, and connectivity requirements is an N-P complete problem. This paper proposes an energy-efficient node scheduling algorithm called EC2 that addresses the problems of energy efficiency, coverage, and connectivity in military surveillance applications using the fuzzy graphs.

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http://hdl.handle.net/10453/135226