An efficient cluster head election algorithm for client mesh network using fuzzy logic control
Enough attention has not been paid to the client nodes in the wireless mesh networks (WMNs) architecture which tend to improve quality of service of the networks if well managed with a cluster structure. In this paper, a fuzzy logic control clustering algorithm (FLCCA) is proposed for client nodes i...
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| Format: | Article |
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Taiwan Academic Network Management Committee
2017
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| _version_ | 1796863323670577152 |
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| author | Adekiigbe, A. Ahmed, A. A. Sadiq, A. S. Ghafoor, K. Z. Abu-Bakar, K. |
| author_facet | Adekiigbe, A. Ahmed, A. A. Sadiq, A. S. Ghafoor, K. Z. Abu-Bakar, K. |
| author_sort | Adekiigbe, A. |
| collection | ePrints |
| description | Enough attention has not been paid to the client nodes in the wireless mesh networks (WMNs) architecture which tend to improve quality of service of the networks if well managed with a cluster structure. In this paper, a fuzzy logic control clustering algorithm (FLCCA) is proposed for client nodes in WMNs. A detailed process for the fuzzification of client node parameters used in the selection of optimal clusterheads is presented. Three client node parameters considered in our proposal are node mobility speed, traffic delivery capacity and the cost of service. We presented an algorithm which uses fuzzy logic control to produce score value for each client nodes based on the parameters for the clusterheads selection. Simulation experiments were used in evaluating the performance of FLCCA and the results show that FLCCA performs better than Distributed Fuzzy Score based Clustering Algorithm (DFSCA). |
| first_indexed | 2024-03-05T20:25:02Z |
| format | Article |
| id | utm.eprints-81116 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:25:02Z |
| publishDate | 2017 |
| publisher | Taiwan Academic Network Management Committee |
| record_format | dspace |
| spelling | utm.eprints-811162019-07-24T03:09:57Z http://eprints.utm.my/81116/ An efficient cluster head election algorithm for client mesh network using fuzzy logic control Adekiigbe, A. Ahmed, A. A. Sadiq, A. S. Ghafoor, K. Z. Abu-Bakar, K. QA75 Electronic computers. Computer science Enough attention has not been paid to the client nodes in the wireless mesh networks (WMNs) architecture which tend to improve quality of service of the networks if well managed with a cluster structure. In this paper, a fuzzy logic control clustering algorithm (FLCCA) is proposed for client nodes in WMNs. A detailed process for the fuzzification of client node parameters used in the selection of optimal clusterheads is presented. Three client node parameters considered in our proposal are node mobility speed, traffic delivery capacity and the cost of service. We presented an algorithm which uses fuzzy logic control to produce score value for each client nodes based on the parameters for the clusterheads selection. Simulation experiments were used in evaluating the performance of FLCCA and the results show that FLCCA performs better than Distributed Fuzzy Score based Clustering Algorithm (DFSCA). Taiwan Academic Network Management Committee 2017 Article PeerReviewed Adekiigbe, A. and Ahmed, A. A. and Sadiq, A. S. and Ghafoor, K. Z. and Abu-Bakar, K. (2017) An efficient cluster head election algorithm for client mesh network using fuzzy logic control. Journal of Internet Technology, 18 (5). pp. 1057-1067. ISSN 1607-9264 http://dx.doi.org/10.6138/JIT.2017.18.5.20130627 DOI:10.6138/JIT.2017.18.5.20130627 |
| spellingShingle | QA75 Electronic computers. Computer science Adekiigbe, A. Ahmed, A. A. Sadiq, A. S. Ghafoor, K. Z. Abu-Bakar, K. An efficient cluster head election algorithm for client mesh network using fuzzy logic control |
| title | An efficient cluster head election algorithm for client mesh network using fuzzy logic control |
| title_full | An efficient cluster head election algorithm for client mesh network using fuzzy logic control |
| title_fullStr | An efficient cluster head election algorithm for client mesh network using fuzzy logic control |
| title_full_unstemmed | An efficient cluster head election algorithm for client mesh network using fuzzy logic control |
| title_short | An efficient cluster head election algorithm for client mesh network using fuzzy logic control |
| title_sort | efficient cluster head election algorithm for client mesh network using fuzzy logic control |
| topic | QA75 Electronic computers. Computer science |
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