TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Intelligent Clustering in Vehicular ad hoc Networks |
| 영문제목(English Title) |
Intelligent Clustering in Vehicular ad hoc Networks |
| 저자(Author) |
Farhan Aadil
Salabat Khan
Khalid Bashir Bajwa
Muhammad Fahad Khan
Asad Ali
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| 원문수록처(Citation) |
VOL 10 NO. 08 PP. 3512 ~ 3528 (2016. 08) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
A network with high mobility nodes or vehicles is vehicular ad hoc Network (VANET). For improvement in communication efficiency of VANET, many techniques have been proposed; one of these techniques is vehicular node clustering. Cluster nodes (CNs) and Cluster Heads (CHs) are elected or selected in the process of clustering. The longer the lifetime of clusters and the lesser the number of CHs attributes to efficient networking in VANETs. In this paper, a novel Clustering algorithm is proposed based on Ant Colony Optimization (ACO) for VANET named ACONET. This algorithm forms optimized clusters to offer robust communication for VANETs. For optimized clustering, parameters of transmission range, direction, speed of the nodes and load balance factor (LBF) are considered. The ACONET is compared empirically with state of the art methods, including Multi-Objective Particle Swarm Optimization (MOPSO) and Comprehensive Learning Particle Swarm Optimization (CLPSO) based clustering techniques. An extensive set of experiments is performed by varying the grid size of the network, the transmission range of nodes, and total number of nodes in network to evaluate the effectiveness of the algorithms in comparison. The results indicate that the ACONET has significantly outperformed the competitors.
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| 키워드(Keyword) |
Vehicular ad hoc network (VANET)
Ant Colony optimization (ACO)
Intelligent Transportation Systems (ITS)
clustering
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| 파일첨부 |
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