Toward green computing in wireless sensor networks: prediction-oriented distributed clustering for non-uniform node distribution

Sikandar, A; Agrawal, R; Tyagi, MK; Rao, ALN; Prasad, M; Binsawad, M

Toward green computing in wireless sensor networks: prediction-oriented distributed clustering for non-uniform node distribution

Sikandar, A Agrawal, R Tyagi, MK Rao, ALN Prasad, M

Binsawad, M

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Publisher:: SPRINGER
Publication Type:: Journal Article
Citation:: Eurasip Journal on Wireless Communications and Networking, 2020, 2020, (1)
Issue Date:: 2020-12-01

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Field	Value	Language
dc.contributor.author	Sikandar, A
dc.contributor.author	Agrawal, R
dc.contributor.author	Tyagi, MK
dc.contributor.author	Rao, ALN
dc.contributor.author	Prasad, M https://orcid.org/0000-0001-9719-2253
dc.contributor.author	Binsawad, M
dc.date.accessioned	2021-02-09T05:26:26Z
dc.date.available	2021-02-09T05:26:26Z
dc.date.issued	2020-12-01
dc.identifier.citation	Eurasip Journal on Wireless Communications and Networking, 2020, 2020, (1)
dc.identifier.issn	1687-1472
dc.identifier.issn	1687-1499
dc.identifier.uri	http://hdl.handle.net/10453/145987
dc.description.abstract	© 2020, The Author(s). Recently, researchers and practitioners in wireless sensor networks (WSNs) are focusing on energy-oriented communication and computing considering next-generation smaller and tiny wireless devices. The tiny sensor-enabled devices will be used for the purpose of sensing, computing, and wireless communication. The hundreds/thousands of WSNs sensors are used to monitor specific activities and report events via wireless communication. The tiny sensor-enabled devices are powered by smaller batteries to work independently in distributed environments resulting in limited maximum lifetime of the network constituted by these devices. Considering the non-uniform distribution of sensor-enabled devices in the next-generation mobility centric WSNs environments, energy consumption is imbalanced among the different sensors in the overall network environments. Toward this end, in this paper, a cluster-oriented routing protocol termed as prediction-oriented distributed clustering (PODC) mechanism is proposed for WSNs focusing on non-uniform sensor distribution in the network. A network model is presented, while categorizing PODC mechanism in two activities including setting cluster of nodes and the activity in the steady state. Further cluster set up activity is described while categorizing in four subcategories. The proposed protocol is compared with individual sensor energy awareness and distributed networking mode of clustering (EADC) and scheduled sensor activity-based individual sensor energy awareness and distributed networking mode of clustering (SA-ADC). The metrics including the overall lifetime of the network and nodes individual energy consumption in realistic next-generation WSNs environments are considered in the experimental evaluation. The results attest the reduced energy consumption centric benefits of the proposed framework PODC as compared to the literature. Therefore, the framework will be more applicable for the smart product development in the next-generation WSNs environments.
dc.language	English
dc.publisher	SPRINGER
dc.relation.ispartof	Eurasip Journal on Wireless Communications and Networking
dc.relation.isbasedon	10.1186/s13638-020-01788-0
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0806 Information Systems, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.subject.classification	Networking & Telecommunications
dc.title	Toward green computing in wireless sensor networks: prediction-oriented distributed clustering for non-uniform node distribution
dc.type	Journal Article
utslib.citation.volume	2020
utslib.for	0806 Information Systems
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2021-02-09T05:26:18Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	2020
utslib.citation.issue	1

Abstract:

© 2020, The Author(s). Recently, researchers and practitioners in wireless sensor networks (WSNs) are focusing on energy-oriented communication and computing considering next-generation smaller and tiny wireless devices. The tiny sensor-enabled devices will be used for the purpose of sensing, computing, and wireless communication. The hundreds/thousands of WSNs sensors are used to monitor specific activities and report events via wireless communication. The tiny sensor-enabled devices are powered by smaller batteries to work independently in distributed environments resulting in limited maximum lifetime of the network constituted by these devices. Considering the non-uniform distribution of sensor-enabled devices in the next-generation mobility centric WSNs environments, energy consumption is imbalanced among the different sensors in the overall network environments. Toward this end, in this paper, a cluster-oriented routing protocol termed as prediction-oriented distributed clustering (PODC) mechanism is proposed for WSNs focusing on non-uniform sensor distribution in the network. A network model is presented, while categorizing PODC mechanism in two activities including setting cluster of nodes and the activity in the steady state. Further cluster set up activity is described while categorizing in four subcategories. The proposed protocol is compared with individual sensor energy awareness and distributed networking mode of clustering (EADC) and scheduled sensor activity-based individual sensor energy awareness and distributed networking mode of clustering (SA-ADC). The metrics including the overall lifetime of the network and nodes individual energy consumption in realistic next-generation WSNs environments are considered in the experimental evaluation. The results attest the reduced energy consumption centric benefits of the proposed framework PODC as compared to the literature. Therefore, the framework will be more applicable for the smart product development in the next-generation WSNs environments.

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http://hdl.handle.net/10453/145987