Infrastructureless storage in dynamic environments
Proceedings of the 2010 ACM Symposium on Applied Computing
Infrastructureless Spatial Storage Algorithms
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Fast track article: Push-and-track: Saving infrastructure bandwidth through opportunistic forwarding
Pervasive and Mobile Computing
A content centric approach to dissemination of information in vehicular networks
Proceedings of the second ACM international symposium on Design and analysis of intelligent vehicular networks and applications
Semantic based networking of information in vehicular clouds based on dimensionality reduction
Proceedings of the third ACM international symposium on Design and analysis of intelligent vehicular networks and applications
Local information storage protocol for urban vehicular networks
WASA'13 Proceedings of the 8th international conference on Wireless Algorithms, Systems, and Applications
Towards a content-centric approach to crowd-sensing in vehicular clouds
Journal of Systems Architecture: the EUROMICRO Journal
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Content-based information dissemination has a potential number of applications in vehicular networking, including advertising, traffic and parking notifications and emergency announcements. In this paper we describe a protocol for content based information dissemination in hybrid (i.e., partially structureless) vehicular networks. The protocol allows content to “stick” to areas where vehicles need to receive it. The vehicle's subscriptions indicate the driver's interests about types of content and are used to filter and route information to affected vehicles. The publications, generated by other vehicles or by central servers, are first routed into the area, then continuously propagated for a specified time interval. The protocol takes advantage of both the infrastructure (i.e., wireless base stations), if this exists, and the decentralized vehicle-to-vehicle communication technologies. We evaluate our approach by simulation over a number of realistic vehicular traces based scenarios. Results show that our protocol achieves high message delivery while introducing low overhead, even in scenarios where no infrastructure is available.