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移动机会网络组播路由的研究进展
引用本文:邓霞,常乐,梁俊斌,蒋婵.移动机会网络组播路由的研究进展[J].计算机科学,2018,45(6):19-26.
作者姓名:邓霞  常乐  梁俊斌  蒋婵
作者单位:广州大学计算机科学与教育软件学院 广州510006,广东工业大学自动化学院 广州510006,广西大学计算机与电子信息学院 南宁530004,华南理工大学电子与信息学院 广州510641
基金项目:本文受国家自然科学基金(61702127),广州市科技计划(201804010461),广东工业大学青年百人计划(220413618),国家自然科学基金(61562005,61502540)资助
摘    要:在移动机会网络中,节点进行机会式的连接通信,该方式被广泛应用于移动社交网络、车载智能网络、移动自组网络等场景中。移动机会网络群组通信在抢险救灾、社区消息分发及智能交通等领域具有极高的应用价值,组播路由技术是其关键技术之一。将移动机会网络组播路由分为传统组播路由和智能组播路由两类,重点介绍了智能组播路由的研究现状,并采用通用的性能指标对各组播路由策略进行了比较分析。分析结论为:智能组播路由由于考虑了移动机会网络的社会特性、节点缓存、能量及安全等特性,因此具有较好的综合性能。最后展望了组播路由在大数据缓存管理、群组安全策略、车载自组网及动态感知方面的研究前景。

关 键 词:移动机会网络  组播路由  传统组播路由  智能组播路由
收稿时间:2017/11/17 0:00:00

Survey on Multicast Routing in Mobile Opportunistic Networks
DENG Xi,CHANG Le,LIANG Jun-bin and JIANG Chan.Survey on Multicast Routing in Mobile Opportunistic Networks[J].Computer Science,2018,45(6):19-26.
Authors:DENG Xi  CHANG Le  LIANG Jun-bin and JIANG Chan
Affiliation:School of Computer Science and Educational Software,Guangzhou University,Guangzhou 510006,China,School of Automation,Guangdong University of Technology,Guangzhou 510006,China,School of Computer,Electronics and Information,Guangxi University,Nanning 530004,China and School of Electronic and Information Engineering,South China University of Technology,Guangzhou 510641,China
Abstract:Mobile opportunistic networks,which disseminate messages through the contact of mobile nodes,have become pervasive in many scenarios,e.g.,mobile social networks,VANET,mobile ad hoc networks,etc.These networks have attracted considerable attention in both the academic and industry community.In such networks,group communication of mobile opportunistic networks has been widely adopted in disaster rescue,community information dissemination,intelligent transportation,etc.,which makes multicast routing as a critical building block in the design of mobile opportunistic networks.This paper presented a survey on the state-of-the-art multicast strategies in mobile opportunistic networks.The multicast routing strategies were classified into two categories:traditional multicast routing and intelligent multicast routing.The algorithms in each category were discussed,with an emphasis on intelligent multicast routing.Different multicast routing strategies were compared and analyzed by using popular performance metrics.The conclusion is drawn that intelligent multicast routing strategies demonstrate desirable comprehensive performance in terms of data delivery ratio,transmission overhead,average delay,storage overhead and scalability,due to the consideration of the inherent characteristics of mobile opportunistic networks,e.g.,contact probability,stable social characteristics,li-mited node cache,exhausted energy consumption,selfish behaviors,etc.At last,corresponding research directions were discussed by concerning the cache management supporting big data,group communication security strategies,multicast in VANET and dynamic-sensing based multicast in mobile opportunistic networks.
Keywords:Mobile opportunistic networks  Multicast routing  Traditional multicast routing  Intelligent multicast routing
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