Abstract
Mobile multimedia streaming services provide rich-content visual resources for the mobile users via ubiquitous access to Internet. The video resource sharing focuses on the matching of appropriate resource supplier for the resource requesters and is a key issue for P2P-based video system scalability and user quality of experience. In this context, leveraging social-driven interaction between mobile users enables the discovery of common interests to improve video content sharing efficiency. In this paper, we propose a novel energy-efficiency social-inspired video sharing solution in wireless networks (ESVS). By the analysis of historical request behaviors of users, ESVS designs an estimation method of relationship between videos and groups the videos into a chain-based tree structure. Based on the constructed video tree, ESVS designs a hybrid resource lookup algorithm including push and pull and a communication quality-aware selection strategy of video suppliers, which improves the communication capacities between requesters and suppliers and reduces the network bandwidth consumption. Simulation results also show how ESVS achieves higher resource lookup success rate, lower startup delay, less packet loss rate, and lower maintenance cost than another state-of-the-art solution.
Highlights
Increasing wireless bandwidth and developmental network technologies such as cellular networks, wireless mesh networks, wireless local networks, and mobile ad hoc networks support the deployment of mobile multimedia streaming services for the mobile users via ubiquitous access to Internet [1]
The increase in the user scale and the demand of watched quality leads to severe consumption of network bandwidth and influences scalability and quality of service (QoS) of multimedia systems
Peer-to-Peer (P2P) technologies construct the logical link between mobile clients to achieve the resource sharing, which relieves the load of media server to improve the system scalability [3,4,5,6,7]
Summary
Increasing wireless bandwidth and developmental network technologies such as cellular networks, wireless mesh networks, wireless local networks, and mobile ad hoc networks support the deployment of mobile multimedia streaming services for the mobile users via ubiquitous access to Internet [1]. QUVoD relies on the DHT-based structure and the similarity of stored resources between nodes to achieve fast location of video content. By estimation of similarity between video content and the analysis of request behaviors of users, ESVS calculates the contact levels between videos and clusters the videos into a chain-based tree structure in order to accurately push interested content to the users. ESVS designs a hybrid resource lookup strategy, which makes use of video tree structure to fast search the resource suppliers and accurately push content in terms of user request, which reduces the lookup “distance” between requester and suppliers. By monitoring the communication quality in video data transmission path, the nodes in ESVS dynamically make the switchover between suppliers in order to obtain high video delivery capacities and improve utilization efficiency of network bandwidth. Extensive tests show how ESVS achieves higher resource lookup success rate, lower startup delay, less packet loss rate, and lower maintenance cost than another state-of-the-art solution
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