Addressing coverage problem in wireless sensor networks based on evolutionary algorithms

Chehrazad, S; Aghdasi, HS; Shariati, N; Abolhasan, M

Addressing coverage problem in wireless sensor networks based on evolutionary algorithms

Chehrazad, S Aghdasi, HS Shariati, N

Abolhasan, M

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Publication Type:: Conference Proceeding
Citation:: 2017 23rd Asia-Pacific Conference on Communications: Bridging the Metropolitan and the Remote, APCC 2017, 2018, 2018-January pp. 1 - 5
Issue Date:: 2018-02-27

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Field	Value	Language
dc.contributor.author	Chehrazad, S	en_US
dc.contributor.author	Aghdasi, HS	en_US
dc.contributor.author	Shariati, N https://orcid.org/0000-0003-4913-0351	en_US
dc.contributor.author	Abolhasan, M https://orcid.org/0000-0002-4282-6666	en_US
dc.date.accessioned	2019-05-03T04:56:30Z
dc.date.available	2019-05-03T04:56:30Z
dc.date.issued	2018-02-27	en_US
dc.identifier.citation	2017 23rd Asia-Pacific Conference on Communications: Bridging the Metropolitan and the Remote, APCC 2017, 2018, 2018-January pp. 1 - 5	en_US
dc.identifier.isbn	9781740523905	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133041
dc.description.abstract	© 2017 University of Western Australia. Wireless Sensor Networks (WSNs) are the key part of Internet of Things, as they provide the physical interface between on-field information and backbone analytic engines. An important role of WSNs-when collecting vital information-is to provide a consistent and reliable coverage. To Achieve this, WSNs must implement a highly reliable and efficient coverage recovery algorithm. In this paper, we take a fresh new approach to coverage recovery based on evolutionary algorithms. We propose EMACB-SA, which introduces a new evolutionary algorithm that selects coverage sets using a fitness function that balances energy efficiency and redundancy. The proposed algorithm improves network's coverage and lifetime in areas with heterogeneous event rate in comparison to previous works and hence, it is suitable for using in disaster management.	en_US
dc.relation.ispartof	2017 23rd Asia-Pacific Conference on Communications: Bridging the Metropolitan and the Remote, APCC 2017	en_US
dc.relation.isbasedon	10.23919/APCC.2017.8304032	en_US
dc.relation.isreplacedby	10453/133043
dc.relation.isreplacedby	http://hdl.handle.net/10453/133043
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Addressing coverage problem in wireless sensor networks based on evolutionary algorithms	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2018-January	en_US
utslib.for	0805 Distributed Computing	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
utslib.copyright.status	closed_access	*
pubs.declined	2019-05-03T14:56:30.220+1000
pubs.merge-to	10453/133043
pubs.merge-to	http://hdl.handle.net/10453/133043
pubs.deleted	2019-05-03T14:56:30.220+1000
pubs.publication-status	Published	en_US
pubs.volume	2018-January	en_US

Abstract:

© 2017 University of Western Australia. Wireless Sensor Networks (WSNs) are the key part of Internet of Things, as they provide the physical interface between on-field information and backbone analytic engines. An important role of WSNs-when collecting vital information-is to provide a consistent and reliable coverage. To Achieve this, WSNs must implement a highly reliable and efficient coverage recovery algorithm. In this paper, we take a fresh new approach to coverage recovery based on evolutionary algorithms. We propose EMACB-SA, which introduces a new evolutionary algorithm that selects coverage sets using a fitness function that balances energy efficiency and redundancy. The proposed algorithm improves network's coverage and lifetime in areas with heterogeneous event rate in comparison to previous works and hence, it is suitable for using in disaster management.

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http://hdl.handle.net/10453/133041