車載社交網(wǎng)絡(luò)(VSN)是一個(gè)新興的網(wǎng)絡(luò)通信研究領(lǐng)域,其相關(guān)概念是從車載自組織網(wǎng)絡(luò)(VANET)和移動(dòng)社交網(wǎng)絡(luò)(MSN)這兩個(gè)不同的學(xué)科借鑒得到的。這一新興網(wǎng)絡(luò)為內(nèi)容共享,數(shù)據(jù)廣播和傳遞服務(wù)提供了新的研究方向�；谏缃痪W(wǎng)絡(luò)分析(SNA)的應(yīng)用和方法,VSN可以利用網(wǎng)絡(luò)實(shí)體的相互依賴性來進(jìn)行今后應(yīng)用的開發(fā)。VSN包含了具有相似目標(biāo)的車輛,乘客和車輛虛擬社區(qū)中具有類似目標(biāo),興趣或移動(dòng)模式的通勤者的社交關(guān)聯(lián)。挖掘VSN中通勤者的移動(dòng)眾包能力可以為當(dāng)今智能城市的若干挑戰(zhàn)提供有前景的解決方案,例如交通擁堵控制、交通管理、智能停車和路線推薦等。在VSN中,移動(dòng)眾包取決于協(xié)作和可靠的數(shù)據(jù)轉(zhuǎn)發(fā)。與其它ad-hoc網(wǎng)絡(luò)和延遲容忍網(wǎng)絡(luò)相比,節(jié)點(diǎn)的移動(dòng)性是高度動(dòng)態(tài)的,并且僅限于VSN中的道路。車輛的流動(dòng)性受到許多因素的影響,包括交通管制、城市發(fā)展和規(guī)劃、工作時(shí)間/天數(shù)、居民的工作和生活方式、社會(huì)價(jià)值觀、路障等�，F(xiàn)有針對(duì)VSN所提出不同協(xié)議的驗(yàn)證和評(píng)估十分依賴于仿真。因此,驗(yàn)證的好壞和結(jié)果的可信度高度依賴于模擬采用的基礎(chǔ)移動(dòng)模型。然而,VSN的上下文感知應(yīng)用程序的仿真性能評(píng)估通常受到底層移動(dòng)性模型偏差的影響。即...

【文章頁數(shù)】：131 頁

【學(xué)位級(jí)別】：博士

【文章目錄】：
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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