A hierarchy of models for multilane vehicular traffic I: modeling
SIAM Journal on Applied Mathematics
A hierarchy of models for multilane vehicular traffic II: numerical investigations
SIAM Journal on Applied Mathematics
Capacity of Ad Hoc wireless networks
Proceedings of the 7th annual international conference on Mobile computing and networking
PAVAN: a policy framework for content availabilty in vehicular ad-hoc networks
Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks
An efficient, unifying approach to simulation using virtual machines
An efficient, unifying approach to simulation using virtual machines
Co-operative Downloading in Vehicular Ad-Hoc Wireless Networks
WONS '05 Proceedings of the Second Annual Conference on Wireless On-demand Network Systems and Services
An integrated mobility and traffic model for vehicular wireless networks
Proceedings of the 2nd ACM international workshop on Vehicular ad hoc networks
Knowing Vehicles Location HELPs Avoiding Broadcast Packets Storm
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
IEEE Communications Magazine
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The support of peer-to-peer (P2P) resource sharing in dynamic scenarios is one of the most challenging research fields for both its expected commercial and technological impact on everyday life. To this purpose, resource sharing within a vehicular network can facilitate an acceleration in the dissemination process and increase the number of nodes in the network which possess a certain resource and can share it with other devices. This performance parameter, denoted as service capacity, has been recently studied in the context of wired P2P networks but its calculation in mobile networks is still an open problem. In this paper, we perform a service capacity analysis in P2P vehicular networks where nodes move according to traffic patterns which consider realistic car interactions such as acceleration, breaking and inter-car minimum safety distance maintenance and, while moving, perform resource dissemination. More specifically, we will present a service capacity analysis which considers the impact of traffic correlation and node density on the number of mobile vehicles in the network possessing a certain resource. Finally, we will also estimate the impact of link errors on the probability that a resource is propagated up to a certain location, in a given time.