Modeling and simulating ITS applications with iTETRIS
Proceedings of the 6th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Utility-based forwarding: a comparison in different mobility scenarios
Proceedings of the third ACM international workshop on Mobile Opportunistic Networks
MicroCast: cooperative video streaming on smartphones
Proceedings of the 10th international conference on Mobile systems, applications, and services
Fast track article: Push-and-track: Saving infrastructure bandwidth through opportunistic forwarding
Pervasive and Mobile Computing
Capillary networks: a novel networking paradigm for urban environments
Proceedings of the first workshop on Urban networking
HyCloud: a hybrid approach toward offloading cellular content through opportunistic communication
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
Select&Spray: towards deployable opportunistic communication in large scale networks
Proceedings of the 11th ACM international symposium on Mobility management and wireless access
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
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Major wireless operators are nowadays facing network capacity issues in striving to meet the growing demands of mobile users. At the same time, 3G-enabled devices increasingly benefit from ad hoc radio connectivity (e.g., Wi-Fi). In this context of hybrid connectivity, we propose Push-and-track, a content dissemination framework that harnesses ad hoc communication opportunities to minimize the load on the wireless infrastructure while guaranteeing tight delivery delays. It achieves this through a control loop that collects user-sent acknowledgements to determine if new copies need to be reinjected into the network through the 3G interface. Push-and-Track includes multiple strategies to determine how many copies of the content should be injected, when, and to whom. The short delay-tolerance of common content, such as news or road traffic updates, make them suitable for such a system. Based on a realistic large-scale vehicular dataset from the city of Bologna composed of more than 10,000 vehicles, we demonstrate that Push-and-Track consistently meets its delivery objectives while reducing the use of the 3G network by over 90%.