车载社交网络移动模型与数据转发协议

发布时间：2023-03-19 09:59

　　车载社交网络(VSN)是一个新兴的网络通信研究领域,其相关概念是从车载自组织网络(VANET)和移动社交网络(MSN)这两个不同的学科借鉴得到的。这一新兴网络为内容共享,数据广播和传递服务提供了新的研究方向。基于社交网络分析(SNA)的应用和方法,VSN可以利用网络实体的相互依赖性来进行今后应用的开发。VSN包含了具有相似目标的车辆,乘客和车辆虚拟社区中具有类似目标,兴趣或移动模式的通勤者的社交关联。挖掘VSN中通勤者的移动众包能力可以为当今智能城市的若干挑战提供有前景的解决方案,例如交通拥堵控制、交通管理、智能停车和路线推荐等。在VSN中,移动众包取决于协作和可靠的数据转发。与其它ad-hoc网络和延迟容忍网络相比,节点的移动性是高度动态的,并且仅限于VSN中的道路。车辆的流动性受到许多因素的影响,包括交通管制、城市发展和规划、工作时间/天数、居民的工作和生活方式、社会价值观、路障等。现有针对VSN所提出不同协议的验证和评估十分依赖于仿真。因此,验证的好坏和结果的可信度高度依赖于模拟采用的基础移动模型。然而,VSN的上下文感知应用程序的仿真性能评估通常受到底层移动性模型偏差的影响。即...

【文章页数】：131 页

【学位级别】：博士

【文章目录】：
Abstract
摘要
1 Introduction
    1.1 Mobility Modeling in VSNs
    1.2 Data Forwarding in VSNs
    1.3 Motivation
    1.4 Thesis Contribution
    1.5 Organization of Thesis
2 Vehicular Social Networks: An Overview
    2.1 Vehicular Social Networks
        2.1.1 Architecture
        2.1.2 Applications
    2.2 Socially-aware Applications for VSNs
    2.3 Vehicular Mobility in VSNs
        2.3.1 Mobility Modeling
        2.3.2 Recommendation Systems
        2.3.3 Route Discovery & Planning
    2.4 Data Forwarding in VSNs
        2.4.1 Socially-aware Data Forwarding in VSNs
        2.4.2 Data Forwarding in Socially Selfish VSNs
    2.5 Summary
3 Modeling and Analysis of Large-scale Urban Mobility
    3.1 Introduction
    3.2 Data Analysis and Characterization
        3.2.1 Dataset
        3.2.2 Analysis and Characterization
        3.2.3 Origins or Departures
        3.2.4 Destinations or Arrivals
        3.2.5 Traveled Distance and Travel Time
    3.3 Mobility Modeling and Dataset Generation
        3.3.1 Microscopic Mobility
        3.3.2 Trip Generation and Distribution
        3.3.3 Traffic Assignment
        3.3.4 Network Topology
    3.4 Experimental Results and Analysis
    3.5 Summary
4 Socially-aware Data Forwarding in VSNs
    4.1 Introduction
    4.2 Social Acquaintance Based Forwarding Protocol
        4.2.1 Community Acquaintance
        4.2.2 Social Activeness
        4.2.3 Degree Centrality
        4.2.4 Forwarding decision
    4.3 Simulation setup
    4.4 Results and analysis
        4.4.1 End-to-end delay
            4.4.1.1 End-to-end delay vs. Number of Nodes
            4.4.1.2 End-to-end delay vs. Speed
        4.4.2 Packet Delivery Ratio
            4.4.2.1 Packet Delivery Ratio vs.Node Density
            4.4.2.2 Packet Delivery Ratio vs. Speed
        4.4.3 Impact of Community Acquaintance
    4.5 Summary
5 Cooperative Data Forwarding in Socially Selfish VSNs
    5.1 Introduction
    5.2 Cooperative Data Forwarding Scheme
        5.2.1 System Overview
        5.2.2 Architecture of CDF
    5.3 Experimental Results and Analysis
        5.3.1 Intra-Community Cooperation
        5.3.2 Inter-Community Cooperation
    5.4 Summary
6 Conclusion and Future Work
    6.1 Conclusion
    6.2 Future work
Abstract of Innovation Points
References
Publications During Ph.D. Period
Acknowledgement
About the Author



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