Distributed Hybrid Coverage Hole Recovery in Wireless Sensor Networks

Abolhasan, M; Maali, Y; Rafiei, A; Ni, W

Distributed Hybrid Coverage Hole Recovery in Wireless Sensor Networks

Abolhasan, M

Maali, Y Rafiei, A Ni, W

Permalink

Publication Type:: Journal Article
Citation:: IEEE Sensors Journal, 2016, 16 (23), pp. 8640 - 8648
Issue Date:: 2016-12-01

Closed Access

	Filename	Description	Size
	Sensor_07576680.pdf	Published Version	2.19 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Abolhasan, M https://orcid.org/0000-0002-4282-6666	en_US
dc.contributor.author	Maali, Y	en_US
dc.contributor.author	Rafiei, A	en_US
dc.contributor.author	Ni, W https://orcid.org/0000-0002-4933-594X	en_US
dc.date.issued	2016-12-01	en_US
dc.identifier.citation	IEEE Sensors Journal, 2016, 16 (23), pp. 8640 - 8648	en_US
dc.identifier.issn	1530-437X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/60624
dc.description.abstract	© 2001-2012 IEEE. Coverage holes (CHs) can compromise the reliability and functionality of wireless sensor networks. The recovery of CHs is challenging, especially in distributed applications where sensors have little knowledge about other sensors' actions. We propose a new game theoretic approach for recovering the CHs in a distributed manner. The key idea is that we formulate a potential game between the sensors, where each mobile sensor in the network only depends on local knowledge of its neighboring nodes and takes CH recovery actions recursively with global convergence. An appropriate combined action of physical relocation and sensing range adjustment can be taken by each sensor to reduce the CHs in an energy-efficient way. Simulation results show that the proposed game theoretic approach is able to substantially increase network lifetime and maintain network coverage in the presence of random damage events, as compared with the prior counterpart(s).	en_US
dc.relation.ispartof	IEEE Sensors Journal	en_US
dc.relation.isbasedon	10.1109/JSEN.2016.2613539	en_US
dc.subject.classification	Analytical Chemistry	en_US
dc.title	Distributed Hybrid Coverage Hole Recovery in Wireless Sensor Networks	en_US
dc.type	Journal Article
utslib.citation.volume	23	en_US
utslib.citation.volume	16	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0205 Optical Physics	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
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.issue	23	en_US
pubs.publication-status	Published	en_US
pubs.volume	16	en_US

Abstract:

© 2001-2012 IEEE. Coverage holes (CHs) can compromise the reliability and functionality of wireless sensor networks. The recovery of CHs is challenging, especially in distributed applications where sensors have little knowledge about other sensors' actions. We propose a new game theoretic approach for recovering the CHs in a distributed manner. The key idea is that we formulate a potential game between the sensors, where each mobile sensor in the network only depends on local knowledge of its neighboring nodes and takes CH recovery actions recursively with global convergence. An appropriate combined action of physical relocation and sensing range adjustment can be taken by each sensor to reduce the CHs in an energy-efficient way. Simulation results show that the proposed game theoretic approach is able to substantially increase network lifetime and maintain network coverage in the presence of random damage events, as compared with the prior counterpart(s).

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/60624