An agent-based approach for building complex software systems
Communications of the ACM
Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
Link Characteristics Estimation For IEEE 802.11 DCF Based WLAN
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
Increasing broadcast reliability in vehicular ad hoc networks
Proceedings of the 3rd international workshop on Vehicular ad hoc networks
A novel social cluster-based P2P framework for integrating VANETs with the internet
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Multiagent based information dissemination in vehicular ad hoc networks
Mobile Information Systems
Mobility-based clustering in VANETs using affinity propagation
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Clustering of vehicle trajectories
IEEE Transactions on Intelligent Transportation Systems
Intervehicle-communication-assisted localization
IEEE Transactions on Intelligent Transportation Systems
VWCA: An efficient clustering algorithm in vehicular ad hoc networks
Journal of Network and Computer Applications
An adaptive approach for information dissemination in Vehicular Ad hoc Networks
Journal of Network and Computer Applications
SP 800-19. Mobile Agent Security
SP 800-19. Mobile Agent Security
Neural Agent Car-Following Models
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems
Applications of agent technology in communications: a review
Computer Communications
Mobile software agents: an overview
IEEE Communications Magazine
Communication patterns in VANETs
IEEE Communications Magazine
Countermeasures for mobile agent security
Computer Communications
Review: Information management in vehicular ad hoc networks: A review
Journal of Network and Computer Applications
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Cluster formation in vehicular ad hoc networks (VANETs) is a challenging problem due to rapidly changing network topology and frequent network disconnections of vehicles. Dynamic clustering is a technique to form grouping of vehicles on the fly. We propose a multiagent driven dynamic clustering scheme for VANETS on a lane between two intersections by considering vehicle speed, direction, connectivity degree to other vehicles and mobility pattern. The scheme comprises of heavy-weight static and light-weight mobile agents. Initially, cluster members are identified based on vehicle's relative speed and direction for dynamic clustering. Cluster head is selected among the cluster members based on stability metric derived from connectivity degree, average speed and time to leave the road intersection. Cluster head predicts future association of cluster members based on mobility patterns. The announcement of cluster mobility pattern to all cluster members is made by cluster head. The cluster members with similar mobility pattern can reconnect with cluster head after passing an intersection of the lane. We have evaluated the performance and effectiveness of proposed scheme by comparing with an existing clustering scheme. It is observed that proposed scheme performs better than existing stable clustering scheme in terms of cluster formation time, cluster member selection time, cluster head selection time and control overheads.