Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
IEEE 802.11 rate adaptation: a practical approach
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Supporting multimedia streaming between mobile peers with link availability prediction
Proceedings of the 13th annual ACM international conference on Multimedia
A mobility-based framework for adaptive clustering in wireless ad hoc networks
IEEE Journal on Selected Areas in Communications
On optimal scheduling for layered video streaming in heterogeneous peer-to-peer networks
MM '08 Proceedings of the 16th ACM international conference on Multimedia
NTMS'09 Proceedings of the 3rd international conference on New technologies, mobility and security
Reliable data streaming over delay tolerant networks
WWIC'12 Proceedings of the 10th international conference on Wired/Wireless Internet Communication
CrowdMAC: a crowdsourcing system for mobile access
Proceedings of the 13th International Middleware Conference
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Numerous types of mobile devices are now popular with end users, who increasingly use them to carry multimedia content on the go. As wireless connectivity is integrated into many handheld devices, streaming multimedia content among mobile ad-hoc peers is becoming a popular application. In this paper, we first introduce a mathematical model for calculating the probability of successfully streaming a multimedia object between two mobile ad-hoc peers. Unlike previous techniques that assume a constant wireless bandwidth or fixed node location, our work supports the 802.11 Auto-Rate Fallback scheme along with two popular mobility models: the random waypoint and the random walk mobility model. When delivery of the whole video content is of crucial importance, we introduce a novel streaming strategy to improve the probability of successfully streaming a video sequence based on our proposed mathematical model. This strategy takes advantage of the Scalable Video Coding scheme to adaptively select the number of enhancement layers to be streamed to the receiver. Simulation results show that our strategy can improve the probability to stream a media object by a maximum of 60% while keeping the video quality relatively high.