A Novel Video Sharing Solution Based on Demand-Aware Resource Caching Optimization in Wireless Mobile Networks

• Main Authors: Shijie Jia, Ruiling Zhang, Shengli Jiang, Mingchuan Zhang
• Format: Article
• Language: English
• Published: Hindawi Limited 2017-01-01
• Series: Mobile Information Systems
• Online Access: http://dx.doi.org/10.1155/2017/3725898

The video services in wireless mobile networks attract massive mobile video users, which triggers the demand for huge network traffic. In order to reduce network load and ensure user quality of experience (QoE), the MP2P-based video systems need to implement high-efficiency management and scheduling of video resources to optimize distribution and promote sharing with offloading traffic in underlaying networks. The traditional solutions do not efficiently address the problems caused by demand variation and node mobility for distribution optimization and resource sharing, so that promotion of video sharing performance in wireless mobile networks for user QoE and reduction of network load still is a significant challenge. This paper proposes a novel video sharing solution based on Demand-aware Resource Caching Optimization in wireless mobile networks (VDRCO). VDRCO models the process of video dissemination in overlay networks in terms of the epidemic model and discusses the main influence factors for video dissemination. By estimation for user demand and video distribution variation, VDRCO makes use of clustering nodes with similar video demand and movement behaviors to achieve distribution optimization and efficient video sharing. Extensive tests show how VDRCO achieves much better performance results in comparison with a state-of-the-art solution.