MOBILE TRAFFIC OFFLOADING BY EXPLOITING SOCIAL NETWORK SERVICES AND LEVERAGING OPPORTUNISTIC DEVICE-TO-DEVICE SHARING

被引:26
|
作者
Wang, Xiaofei
Chen, Min [1 ]
Kwon, Ted Taekyoung [3 ]
Jin, Lianghai [1 ]
Leung, Victor C. M. [2 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Comp Sci & Technol, Wuhan, Peoples R China
[2] Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V5Z 1M9, Canada
[3] Seoul Natl Univ, Sch Comp Sci & Engn, Seoul 151, South Korea
基金
新加坡国家研究基金会; 加拿大自然科学与工程研究理事会; 中国国家自然科学基金;
关键词
D O I
10.1109/MWC.2014.6845046
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The ever increasing traffic demand is becomming a serious concern for mobile network operators. In order to solve the traffic explosion problem, there have been research efforts on offloading the traffic from cellular links to local communications among users. In this article, we leverage opportunistic device-to-device sharing, exploit the social impact among users in social network services (SNSs), and propose the novel framework of traffic offloading assisted by SNSs via opportunistic sharing in mobile social networks, called TOSS. In TOSS, initially a subset of mobile users are selected as seeds depending on their content spreading impact on online SNSs and their mobility patterns in offline MSNs. Then users share content objects via opportunistic local connectivity (e. g., WiFi Direct) with each other. Furthermore, the observation of SNS user activities reveals that individual users have distinct access patterns, which allows TOSS to utilize the user-dependent access delays between the content generation time and each user's access time for opportunistic sharing purposes. By trace-driven evaluation, we demonstrate that TOSS can reduce by 63.8-86.5 percent of cellular traffic while satisfying the access delay requirements of all users. Therefore, traffic offloading by leveraging opportunistic device-to-device sharing based on SNSs can be quite effective and efficient as a promising content delivery service for traffic reduction in future mobile networks.
引用
收藏
页码:28 / 36
页数:9
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