一种基于兴趣挖掘的机会网络内容分发策略
发布时间：2019-05-18 16:29
【摘要】：提出了一种新的基于兴趣挖掘的机会网络内容分发策略(Interest Mining Based Scheme,IMBS),通过贝叶斯理论分析节点的兴趣以及节点基于兴趣的相遇频率,挖掘移动节点随机运动背后所蕴含的人类社交特征和情感特征.此外,IMBS采用发布/订阅机制,收集节点的订阅信息,以获取消息在整个网络中的需求量.在转发消息的时候,IMBS把消息的需求总量和节点的情感特征以及社交特征结合起来选择下一跳节点.仿真实验及算法复杂度分析表明,在不提高算法复杂度的情况下,IMBS可显著减少消息的传输延时和网络开销,并提高消息传输的成功率.
[Abstract]:In this paper, a new opportunity network content distribution strategy based on interest mining (Interest Mining Based Scheme,IMBS) is proposed. The interest of nodes and the frequency of encounter based on interest are analyzed by Bayesian theory. Mining the human social and emotional characteristics behind the random motion of mobile nodes. In addition, IMBS uses publish / subscribe mechanism to collect the subscription information of nodes to obtain the demand of messages in the whole network. When forwarding a message, IMBS combines the total amount of message requirements with the emotional and social characteristics of the node to select the next hop node. Simulation results and algorithm complexity analysis show that IMBS can significantly reduce message transmission delay and network overhead, and improve the success rate of message transmission without increasing the complexity of the algorithm.
【作者单位】： 华南师范大学物理与电信工程学院;
【基金】：国家自然科学基金项目(61471175) 教育部新世纪优秀人才支持计划项目(NCET-13-0805)
【分类号】：TN929.5
[Abstract]:In this paper, a new opportunity network content distribution strategy based on interest mining (Interest Mining Based Scheme,IMBS) is proposed. The interest of nodes and the frequency of encounter based on interest are analyzed by Bayesian theory. Mining the human social and emotional characteristics behind the random motion of mobile nodes. In addition, IMBS uses publish / subscribe mechanism to collect the subscription information of nodes to obtain the demand of messages in the whole network. When forwarding a message, IMBS combines the total amount of message requirements with the emotional and social characteristics of the node to select the next hop node. Simulation results and algorithm complexity analysis show that IMBS can significantly reduce message transmission delay and network overhead, and improve the success rate of message transmission without increasing the complexity of the algorithm.
【作者单位】： 华南师范大学物理与电信工程学院;
【基金】：国家自然科学基金项目(61471175) 教育部新世纪优秀人才支持计划项目(NCET-13-0805)
【分类号】：TN929.5
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