中文摘要：

针对移动社交网络中资源发现方法单一、效率不高的问题,提出了一种基于兴趣热点的资源发现机制（IHRD）。IHRD利用移动节点对热点的访问轨迹计算节点之间的社会关系,根据兴趣热点与社会关系之间的关联设计了基于兴趣热点的资源搜索办法;最后,引入马尔可夫预测模型,对兴趣热点的变化进行有效预测,进一步提高了资源搜索效率。仿真实验表明,IHRD与同类发现机制相比,具有较高的资源发现效率、较低的平均时延与通信开销,验证了所提方法的有效性。

英文摘要：

According to the low efficiency and limited method in resource discovery for mobile social networks （ MSN）, this paper proposed an interests hotspot-based resource discovery mechanism （IHRD）. IHRD calculated social relationship between nodes by the track of accessed interest hotspots. Then it proposed an efficient resource discovery strategy based on the correlation between interest hotspot and social relations. Finally, IHRD introduced Markov prediction model to further improve the efficiency of searching resources. Simulation results show that IHRD consistently outperforms the state-of-the-art resource discovery schemes in terms of the efficiency of resource discovery, average delay and the communication cost, and verify the efficiency of the proposed mechanism.