Energy efficient clustering and routing algorithms for wireless sensor networks: Particle swarm optimization approach

Energy efficient clustering and routing are two well known optimization problems which have been studied widely to extend lifetime of wireless sensor networks (WSNs). This paper presents Linear/Nonlinear Programming (LP/NLP) formulations of these problems followed by two proposed algorithms for the...

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Published in:	Engineering applications of artificial intelligence Vol. 33; pp. 127 - 140
Main Authors:	Kuila, Pratyay, Jana, Prasanta K.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.08.2014
Subjects:	Algorithms Clustering Computer networks Energy management Gateways Network life Particle swarm optimization Remote sensors Routing Routing (telecommunications) Swarm intelligence Wireless networks Wireless sensor networks Network life Wireless sensor networks Routing Clustering Particle swarm optimization Gateways
ISSN:	0952-1976, 1873-6769
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Abstract	Energy efficient clustering and routing are two well known optimization problems which have been studied widely to extend lifetime of wireless sensor networks (WSNs). This paper presents Linear/Nonlinear Programming (LP/NLP) formulations of these problems followed by two proposed algorithms for the same based on particle swarm optimization (PSO). The routing algorithm is developed with an efficient particle encoding scheme and multi-objective fitness function. The clustering algorithm is presented by considering energy conservation of the nodes through load balancing. The proposed algorithms are experimented extensively and the results are compared with the existing algorithms to demonstrate their superiority in terms of network life, energy consumption, dead sensor nodes and delivery of total data packets to the base station. •Two algorithms are presented, i.e., PSO based routing and clustering for wireless sensor networks.•The former builds a trade-off between transmission distance and hop-count.•The clustering algorithm balances energy consumption of the CHs.•Experimental results demonstrate the superiority over existing algorithms.
AbstractList	Energy efficient clustering and routing are two well known optimization problems which have been studied widely to extend lifetime of wireless sensor networks (WSNs). This paper presents Linear/Nonlinear Programming (LP/NLP) formulations of these problems followed by two proposed algorithms for the same based on particle swarm optimization (PSO). The routing algorithm is developed with an efficient particle encoding scheme and multi-objective fitness function. The clustering algorithm is presented by considering energy conservation of the nodes through load balancing. The proposed algorithms are experimented extensively and the results are compared with the existing algorithms to demonstrate their superiority in terms of network life, energy consumption, dead sensor nodes and delivery of total data packets to the base station. Energy efficient clustering and routing are two well known optimization problems which have been studied widely to extend lifetime of wireless sensor networks (WSNs). This paper presents Linear/Nonlinear Programming (LP/NLP) formulations of these problems followed by two proposed algorithms for the same based on particle swarm optimization (PSO). The routing algorithm is developed with an efficient particle encoding scheme and multi-objective fitness function. The clustering algorithm is presented by considering energy conservation of the nodes through load balancing. The proposed algorithms are experimented extensively and the results are compared with the existing algorithms to demonstrate their superiority in terms of network life, energy consumption, dead sensor nodes and delivery of total data packets to the base station. •Two algorithms are presented, i.e., PSO based routing and clustering for wireless sensor networks.•The former builds a trade-off between transmission distance and hop-count.•The clustering algorithm balances energy consumption of the CHs.•Experimental results demonstrate the superiority over existing algorithms.
Author	Kuila, Pratyay Jana, Prasanta K.
Author_xml	– sequence: 1 givenname: Pratyay orcidid: 0000-0002-4549-3246 surname: Kuila fullname: Kuila, Pratyay email: pratyay_kuila@yahoo.com – sequence: 2 givenname: Prasanta K. surname: Jana fullname: Jana, Prasanta K. email: prasantajana@yahoo.com
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Snippet	Energy efficient clustering and routing are two well known optimization problems which have been studied widely to extend lifetime of wireless sensor networks...
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SubjectTerms	Algorithms Clustering Computer networks Energy management Gateways Network life Particle swarm optimization Remote sensors Routing Routing (telecommunications) Swarm intelligence Wireless networks Wireless sensor networks
Title	Energy efficient clustering and routing algorithms for wireless sensor networks: Particle swarm optimization approach
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