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基于社会特征周期演化的机会移动网络路由转发策略
引用本文:黄永锋,董永强,张三峰,吴国新.基于社会特征周期演化的机会移动网络路由转发策略[J].通信学报,2015,36(3):21-32.
作者姓名:黄永锋  董永强  张三峰  吴国新
作者单位:1.东南大学 计算机科学与工程学院,江苏 南京 211189;2.东南大学 计算机网络和信息集成教育部重点实验室,江苏 南京 211189
基金项目:国家自然科学基金资助项目(61272532, 61370209, 61300200, 61472080);国家高技术研究发展计划(“863”计划)基金资助项目(2013AA013503);江苏省博士后科研基金资助项目(1402039B);江苏省未来网络前瞻性研究基金资助项目(BY2013095-2-06)
摘    要:针对分布式k团社区检测引起的超大社区问题,提出了具有节点退出机制的?-window社区检测方法,相应提出了?-window中心性估计。通过实验发现?-window社区和?-window中心性具有周期演化特性,利用该特性,提出TTL(time to live)社区检测和TTL中心性估计,以更准确预测消息生存期上节点的相遇。随后,利用TTL社区和TTL中心性作为转发测度,设计了新的机会移动网络路由算法PerEvo。实验结果表明,与现有的基于社会特征的路由算法比较,PerEvo在保持基本不变的传输开销的同时,有效提高了机会移动网络消息投递的成功率。 关键词:机会移动网络;社区;中心性;周期演化;消息转发

关 键 词:机会移动网络  社区  中心性  周期演化  消息转发

Message forwarding based on periodically evolving social characteristics in opportunistic mobile networks
Yong-feng HUANG,Yong-qiang DONG,San-feng ZHANG,Guo-xin WU.Message forwarding based on periodically evolving social characteristics in opportunistic mobile networks[J].Journal on Communications,2015,36(3):21-32.
Authors:Yong-feng HUANG  Yong-qiang DONG  San-feng ZHANG  Guo-xin WU
Affiliation:1. School of Computer Science and Engineering, Southeast University, Nanjing 211189, China;2. Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing 211189, China
Abstract:To avoid monster community problem which suffered by distributed k-clique community detection, τ-window community detection was proposed. In addition, τ-window centrality estimation was put forward. By investigating the periodic evolution of τ-window community and τ-window centrality, two new metrics, TTL(time to live) community and TTL centrality, were proposed to improve the prediction of the node's encounter during the message's lifetime. Moreover, a social-aware routing algorithm, PerEvo, was then designed based on them. Extensive trace-driven simulation results show that PerEvo achieves higher message delivery ratio than the existing social-based forwarding schemes, while keep-ing similar routing overhead.
Keywords:opportunistic mobile networks  community  centrality  periodic evolution  message forwarding
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