Optimal LEACH protocol with modified bat algorithm for big data sensing systems in Internet of Things

Cui, Z; Cao, Y; Cai, X; Cai, J; Chen, J

Optimal LEACH protocol with modified bat algorithm for big data sensing systems in Internet of Things

Cui, Z Cao, Y Cai, X Cai, J Chen, J

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Journal of Parallel and Distributed Computing, 2019, 132, pp. 217-229
Issue Date:: 2019

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Field	Value	Language
dc.contributor.author	Cui, Z
dc.contributor.author	Cao, Y
dc.contributor.author	Cai, X
dc.contributor.author	Cai, J
dc.contributor.author	Chen, J
dc.date.accessioned	2020-05-06T06:42:18Z
dc.date.available	2020-05-06T06:42:18Z
dc.date.issued	2019
dc.identifier.citation	Journal of Parallel and Distributed Computing, 2019, 132, pp. 217-229
dc.identifier.issn	0743-7315
dc.identifier.issn	1096-0848
dc.identifier.uri	http://hdl.handle.net/10453/140516
dc.description.abstract	© 2017 Elsevier Inc. Big data sensing system (BDSS) plays an important role in the Internet of Things, in which how to reduce power consumption is one crucial problem. Currently, low energy adaptive clustering hierarchy (LEACH) protocol is one well-known algorithm used in BDSS with low energy cost. In this paper, a new variant of bat algorithm combined with centroid strategy is introduced. Three different centroid strategies with six different designs are introduced. In addition, the velocity inertia-free update equation is also provided. The optimization performance is verified by CEC2013 benchmarks in those designs against standard BA. Simulation results prove that the bat algorithm with weighted harmonic centroid (WHCBA) strategy is superior to other algorithms. By integrating WHCBA into LEACH protocol, we develop a two-stage cluster-head node selection strategy and can save more energy compared to the standard LEACH protocol.
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Journal of Parallel and Distributed Computing
dc.relation.isbasedon	10.1016/j.jpdc.2017.12.014
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0803 Computer Software, 0805 Distributed Computing
dc.subject.classification	Distributed Computing
dc.title	Optimal LEACH protocol with modified bat algorithm for big data sensing systems in Internet of Things
dc.type	Journal Article
utslib.citation.volume	132
utslib.for	0803 Computer Software
utslib.for	0805 Distributed Computing
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
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
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2020-05-06T06:42:15Z
pubs.publication-status	Accepted
pubs.volume	132
utslib.start-page	217

Abstract:

© 2017 Elsevier Inc. Big data sensing system (BDSS) plays an important role in the Internet of Things, in which how to reduce power consumption is one crucial problem. Currently, low energy adaptive clustering hierarchy (LEACH) protocol is one well-known algorithm used in BDSS with low energy cost. In this paper, a new variant of bat algorithm combined with centroid strategy is introduced. Three different centroid strategies with six different designs are introduced. In addition, the velocity inertia-free update equation is also provided. The optimization performance is verified by CEC2013 benchmarks in those designs against standard BA. Simulation results prove that the bat algorithm with weighted harmonic centroid (WHCBA) strategy is superior to other algorithms. By integrating WHCBA into LEACH protocol, we develop a two-stage cluster-head node selection strategy and can save more energy compared to the standard LEACH protocol.

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http://hdl.handle.net/10453/140516