基于机会网络的社会性活动组织研究

具有短距离通信功能的设备(特别是智能手机)的广泛普及为机会网络的应用带来了可能。提出了社会活动组织(SAF,Social Activity Formation)的应用。为实现机会网络下的社会活动组织信息的传播，需要代理用户的支持。现有代理算法中一般假设代理愿意帮助信息发起者进行传播，而没有考虑人的主观因素。从个体意愿度角度出发，认为用户不一定愿意接受代理任务，从而会带来“丢包”问题。鉴于此，提出了基于“社会关系”和“活跃度”的代理选择算法STBS(Social Tie based Broker Selection Algorithm)。采用MIT提供的智能手机数据集RealityMining做了实验，结果表明，STBS具有较好的性能，能较好地提供社会活动组织服务。

Delivering Social Activity Formation Service over Opportunistic Networks

The prevalence of devices (especially smart phones) with short range communication modules propels the development of opportunistic networks and its applications. Social activities formation (SAF) application was proposed.To facilitate data dissemination in opportunistic networks, broker-based protocols arc often used. However, existing protocols assume that brokers are willing to contribute, ignoring the selfish nature of human. Considering the individual willingness, user may not take mission which leads to packet loss problem. To this end, STBS (Social Tic based BrokerSelection Algorithm) was proposed based on social tics and popularity. Experiments with smart phones data sets Reality Mining provided by MIT evaluation show that STBS has better performance and can provide better social activity support.