Hierarchically-organized, multihop mobile wireless networks for quality-of-service support
Mobile Networks and Applications - Special issue: mobile multimedia communications
A Mobility Based Metric for Clustering in Mobile Ad Hoc Networks
ICDCSW '01 Proceedings of the 21st International Conference on Distributed Computing Systems
Vehicular Mobility Simulation for VANETs
ANSS '07 Proceedings of the 40th Annual Simulation Symposium
Index coded repetition-based MAC in vehicular ad-hoc networks
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Ad hoc peer-to-peer network architecture for vehicle safety communications
IEEE Communications Magazine
Adaptive clustering for mobile wireless networks
IEEE Journal on Selected Areas in Communications
Energy and path aware clustering algorithm (EPAC) for mobile ad hoc networks
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part IV
A novel multi-hop clustering scheme for vehicular ad-hoc networks
Proceedings of the 9th ACM international symposium on Mobility management and wireless access
Mitigating the impact of node mobility using mobile backbone for heterogeneous MANETs
Computer Communications
Multiagent driven dynamic clustering of vehicles in VANETs
Journal of Network and Computer Applications
PassCAR: A passive clustering aided routing protocol for vehicular ad hoc networks
Computer Communications
A moving zone based architecture for message dissemination in VANETs
Proceedings of the 8th International Conference on Network and Service Management
VANET QoS-OLSR: QoS-based clustering protocol for Vehicular Ad hoc Networks
Computer Communications
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The recent research in cluster-based MAC and routing schemes for Vehicle Ad Hoc Networks (VANETs) motivates the necessity for a stable VANET clustering algorithm. Due to the highly mobile nature of VANETs, mobility must play an integral role in cluster formation. We present a novel, mobility-based clustering scheme for Vehicle Ad hoc Networks, which utilizes the Affinity Propagation algorithm in a distributed manner. The proposed algorithm considers typical vehicular mobility during cluster formation, which produces clusters with high stability. Simulation results confirm the superior performance of the proposed algorithm, when compared to other accepted mobility-based clustering techniques. Clustering performance is measured in terms of average cluster head duration, average cluster member duration, average rate of cluster head change, and average number of clusters.