A reliable multicast framework for light-weight sessions and application level framing
IEEE/ACM Transactions on Networking (TON)
STAIR: Practical AIMD Multirate Multicast Congestion Control
NGC '01 Proceedings of the Third International COST264 Workshop on Networked Group Communication
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
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Multimedia social network analysis is an emerging research area, which analyzes the behaviour of users who share multimedia content and investigates the impact of human dynamics on multimedia systems. In Collaborative mobile networks, receivers cooperate with each other to provide a distributed, highly scalable and robust platform for live streaming applications. However, every user wishes to use as much bandwidth as possible to receive a high-quality video; then, congestion control should be addressed This paper proposes a collaborative mobile architecture to model receiver (in this case user) behaviour using congestion control and reliable strategies to stimulate user cooperation in multicast live streaming. Thus, an author's protocol named Scalable Reliable Multicast Stair Hybrid (SRMSH) is presented as new hybrid multiple layer mechanism for multicast congestion control providing detection and recovery loss. Simulation results show that the proposed strategies can effectively stimulate user cooperation, achieve cheat free and provide reliable services within a mobile multimedia social network.