CH Selection via Adaptive Threshold Design Aligned on Network Energy

Behera, TM; Nanda, S; Mohapatra, SK; Samal, UC; Khan, MS; Gandomi, AH

CH Selection via Adaptive Threshold Design Aligned on Network Energy

Behera, TM Nanda, S Mohapatra, SK Samal, UC Khan, MS Gandomi, AH

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Publisher:: Institute of Electrical and Electronics Engineers
Publication Type:: Journal Article
Citation:: IEEE Sensors Journal, 2021, 21, (6), pp. 8491-8500
Issue Date:: 2021-03-15

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Field	Value	Language
dc.contributor.author	Behera, TM
dc.contributor.author	Nanda, S
dc.contributor.author	Mohapatra, SK
dc.contributor.author	Samal, UC
dc.contributor.author	Khan, MS
dc.contributor.author	Gandomi, AH
dc.date.accessioned	2022-03-22T03:40:29Z
dc.date.available	2022-03-22T03:40:29Z
dc.date.issued	2021-03-15
dc.identifier.citation	IEEE Sensors Journal, 2021, 21, (6), pp. 8491-8500
dc.identifier.issn	1530-437X
dc.identifier.issn	1558-1748
dc.identifier.uri	http://hdl.handle.net/10453/155449
dc.description.abstract	Energy consumption in Wireless Sensor Networks (WSN) involving multiple sensor nodes is a crucial parameter in many applications like smart healthcare systems, home automation, environmental monitoring, and industrial use. Hence, an energy-efficient cluster-head (CH) selection strategy is imperative in a WSN to improve network performance. So to balance the harsh conditions in the network with fast changes in the energy dynamics, a novel energy-efficient adaptive fuzzy-based CH selection approach is projected. Extensive simulations exploited various real-time scenarios, such as varying the optimal position of the location of the base station and network energy. Additionally, the results showed an improved performance in the throughput (46%) and energy consumption (66%), which demonstrated the robustness and efficacy of the proposed model for the future designs of WSN applications.
dc.language	English
dc.publisher	Institute of Electrical and Electronics Engineers
dc.relation.ispartof	IEEE Sensors Journal
dc.relation.isbasedon	10.1109/JSEN.2021.3051451
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0205 Optical Physics, 0906 Electrical and Electronic Engineering, 0913 Mechanical Engineering
dc.subject.classification	Analytical Chemistry
dc.title	CH Selection via Adaptive Threshold Design Aligned on Network Energy
dc.type	Journal Article
utslib.citation.volume	21
utslib.for	0205 Optical Physics
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0913 Mechanical Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2022-03-22T03:40:27Z
pubs.issue	6
pubs.publication-status	Published
pubs.volume	21
utslib.citation.issue	6

Abstract:

Energy consumption in Wireless Sensor Networks (WSN) involving multiple sensor nodes is a crucial parameter in many applications like smart healthcare systems, home automation, environmental monitoring, and industrial use. Hence, an energy-efficient cluster-head (CH) selection strategy is imperative in a WSN to improve network performance. So to balance the harsh conditions in the network with fast changes in the energy dynamics, a novel energy-efficient adaptive fuzzy-based CH selection approach is projected. Extensive simulations exploited various real-time scenarios, such as varying the optimal position of the location of the base station and network energy. Additionally, the results showed an improved performance in the throughput (46%) and energy consumption (66%), which demonstrated the robustness and efficacy of the proposed model for the future designs of WSN applications.

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http://hdl.handle.net/10453/155449