Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
SHARC: Community-based partitioning for mobile ad hoc networks using neighborhood similarity
WOWMOM '10 Proceedings of the 2010 IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)
A vehicular mobility model based on real traffic counting data
Nets4Cars/Nets4Trains'11 Proceedings of the Third international conference on Communication technologies for vehicles
Communication protocols for vehicular ad hoc networks
Wireless Communications & Mobile Computing
A novel multi-hop clustering scheme for vehicular ad-hoc networks
Proceedings of the 9th ACM international symposium on Mobility management and wireless access
Mobility models for vehicular ad hoc networks: a survey and taxonomy
IEEE Communications Surveys & Tutorials
Adaptive clustering for mobile wireless networks
IEEE Journal on Selected Areas in Communications
Generation of realistic traces for vehicular mobility simulations
Proceedings of the second ACM international symposium on Design and analysis of intelligent vehicular networks and applications
Mobility based dynamic TXOP for vehicular communication
LCN '12 Proceedings of the 2012 IEEE 37th Conference on Local Computer Networks (LCN 2012)
Hi-index | 0.00 |
The topology of vehicular ad hoc networks (VANETs) is highly dynamic due to the mobility of the vehicles and changing traffic conditions in time and space. The development of any efficient service in such networks is challenging and requires thorough understanding of the characteristics and dynamics of the underlying communication topology. This work analyses the connectivity and the potential for creating communities in large-scale and realistic VANETs. In addition, the performance of a state-of-the-art decentralised community detection algorithm is studied in terms of how communities form and evolve when considering real-world vehicular mobility.