基于机会通信的移动数据分流算法研究

A research on mobile data offloading algorithm based on opportunistic communication

近年来移动智能终端设备数量迅猛增长,移动数据流量的消耗也随之呈现指数增长趋势。数据流量激增使蜂窝网难以提供充足的带宽来满足用户需求。为解决此问题,移动数据分流技术应运而生。利用设备间的机会通信,提出一种结合用户活跃度和位置信息的移动数据分流算法(Social Activity and Geographic Location Awareness Off loading Protocol,SAGLA)。根据用户的活跃度选取发布用户,利用订阅用户与发布用户的位置关系做出消息分发决策。理论分析和仿真结果表明,该算法可以实现较高的移动数据分流效率和较短的等待时间。

With the explosive increase of smartphone and tablet, the past few years have witnessed the exponential rise of the mobile data. This has already caused that the cellular network operators can not offer sufficient capacity to accommodate the numerous mobile data requirements. For tackling the problem, some scholars and experts pre-sent mobile data offloading technology. Utilizing the opportunistic communication between mobile devices, this paper proposes a mobile data offloading algorithm, which combines the activity and the position of users in the network. The activity is used to select the publishers and the position of publishers and subscribers is used to make offloading decision. The result demonstrates that the algorithm proposed can achieve considerable offloading ef-ficiency and short delays.