Cluster head selection using fuzzy logic and chaotic based genetic algorithm in wireless sensor network
Wireless sensor networks (WSNs) are composed of hundreds or thousands of sensor nodes in order to detect and transmit information from its surrounding environment. The sensor nodes have limited computation capability, limited power and small memory size. In these networks, sensor nodes are dependen...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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TextRoad Publication
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/28823/ http://psasir.upm.edu.my/id/eprint/28823/1/Cluster%20head%20selection%20using%20fuzzy%20logic%20and%20chaotic%20based%20genetic%20algorithm%20in%20wireless%20sensor%20network.pdf |
| _version_ | 1848846222883815424 |
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| author | Karimi, Abbas Abedini, S. M. Zarafshan, Faraneh Syed Mohamed, Syed Abdul Rahman Al-Haddad |
| author_facet | Karimi, Abbas Abedini, S. M. Zarafshan, Faraneh Syed Mohamed, Syed Abdul Rahman Al-Haddad |
| author_sort | Karimi, Abbas |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Wireless sensor networks (WSNs) are composed of hundreds or thousands of sensor nodes in order to detect and transmit
information from its surrounding environment. The sensor nodes have limited computation capability, limited power and small memory size. In these networks, sensor nodes are dependent on low power batteries to provide their energy. As
energy is a challenging issue in these networks, clustering models are used to overcome this problem. In this paper, fuzzy logic and chaotic based genetic algorithms are combined to extend the lifetime of sensor nodes. In other words, fuzzy logic is proposed based on three variables-
energy, density and centrality-to introduce the best nodes to base station as cluster head candidate. Then, the number and place of cluster heads are determined in base station by using genetic algorithm based on chaotic. Our simulation results in the NS-2 show the longer network lifetime of the proposed algorithm than the LEACH, DEEC, SEDEEC and GFS protocols. |
| first_indexed | 2025-11-15T08:59:17Z |
| format | Article |
| id | upm-28823 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T08:59:17Z |
| publishDate | 2013 |
| publisher | TextRoad Publication |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-288232015-09-18T01:27:24Z http://psasir.upm.edu.my/id/eprint/28823/ Cluster head selection using fuzzy logic and chaotic based genetic algorithm in wireless sensor network Karimi, Abbas Abedini, S. M. Zarafshan, Faraneh Syed Mohamed, Syed Abdul Rahman Al-Haddad Wireless sensor networks (WSNs) are composed of hundreds or thousands of sensor nodes in order to detect and transmit information from its surrounding environment. The sensor nodes have limited computation capability, limited power and small memory size. In these networks, sensor nodes are dependent on low power batteries to provide their energy. As energy is a challenging issue in these networks, clustering models are used to overcome this problem. In this paper, fuzzy logic and chaotic based genetic algorithms are combined to extend the lifetime of sensor nodes. In other words, fuzzy logic is proposed based on three variables- energy, density and centrality-to introduce the best nodes to base station as cluster head candidate. Then, the number and place of cluster heads are determined in base station by using genetic algorithm based on chaotic. Our simulation results in the NS-2 show the longer network lifetime of the proposed algorithm than the LEACH, DEEC, SEDEEC and GFS protocols. TextRoad Publication 2013-04 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/28823/1/Cluster%20head%20selection%20using%20fuzzy%20logic%20and%20chaotic%20based%20genetic%20algorithm%20in%20wireless%20sensor%20network.pdf Karimi, Abbas and Abedini, S. M. and Zarafshan, Faraneh and Syed Mohamed, Syed Abdul Rahman Al-Haddad (2013) Cluster head selection using fuzzy logic and chaotic based genetic algorithm in wireless sensor network. Journal of Basic and Applied Scientific Research, 3 (4). pp. 694-703. ISSN 2090-4304; ESSN: 2090-4215 |
| spellingShingle | Karimi, Abbas Abedini, S. M. Zarafshan, Faraneh Syed Mohamed, Syed Abdul Rahman Al-Haddad Cluster head selection using fuzzy logic and chaotic based genetic algorithm in wireless sensor network |
| title | Cluster head selection using fuzzy logic and chaotic based genetic algorithm in wireless sensor network |
| title_full | Cluster head selection using fuzzy logic and chaotic based genetic algorithm in wireless sensor network |
| title_fullStr | Cluster head selection using fuzzy logic and chaotic based genetic algorithm in wireless sensor network |
| title_full_unstemmed | Cluster head selection using fuzzy logic and chaotic based genetic algorithm in wireless sensor network |
| title_short | Cluster head selection using fuzzy logic and chaotic based genetic algorithm in wireless sensor network |
| title_sort | cluster head selection using fuzzy logic and chaotic based genetic algorithm in wireless sensor network |
| url | http://psasir.upm.edu.my/id/eprint/28823/ http://psasir.upm.edu.my/id/eprint/28823/1/Cluster%20head%20selection%20using%20fuzzy%20logic%20and%20chaotic%20based%20genetic%20algorithm%20in%20wireless%20sensor%20network.pdf |