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研究生: 林哲弘
Lin, Che-Hung
論文名稱: 用於車用行動通訊網路之支援可適性路由的協同式目標尋找方法
A Cooperative Destination Discovery Scheme to Support Adaptive Routing in VANETs
指導教授: 郭耀煌
Kuo, Yau-Hwang
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 資訊工程學系
Department of Computer Science and Information Engineering
論文出版年: 2010
畢業學年度: 98
語文別: 英文
論文頁數: 70
中文關鍵詞: 無線隨意網路車用網路封包模式適應性路由機制協同式目標尋找法低負擔
外文關鍵詞: Ad-hoc Network, VANET, Packet mode, Adaptive routing, Cooperative Destination Discovery, low control overhead
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  • 隨著無線通訊網路技術的進步,使得無線網路可以提供與有線網路等同的資訊服務,加上電子元件價格漸漸下降,以及行車安全日益受到重視,車用隨意無線網路(Vehicle Ad-hoc Network) 漸漸受到各界的重視,並成為重要的研究議題。
    在過去的研究中,大多將路由分成proactive、reactive及Hybrid三類,但是,這些方法都是連線導向的,也就是在傳輸之前須建立傳輸路徑,路徑的維護及修復所造成的負擔會導致網路效能下降。因此position based路由被提出來解決以上三類的缺點。position based路由利用節點的位置來做為路由考量的依據,因此不需要建立或維護任何路徑,但需要知道目標點的位置。大部分的方法都假設目標點是在固定已知的位置,或是可以透過位置服務來取得目標點的位置,但是,假設目標點固定在車輛網路中是不合理的,使用位置服務則會產生額外的網路負擔。同時,目前提出的position based路由並沒有依據車輛移動的道路環境動態選擇不同路由策略的方法。
    有鑑於此,本文提出支援可適性路由的協同式目標尋找方法(COoperation Destination discovery Scheme with ADaptive routing, 縮寫為CODS-AD)來解決以上所提及position based路由的缺點。此方法主要分成兩部分,可適性路由 (Adaptive Routing) 依據道路環境的車流量動態調整路由策略來提升封包的傳達率並減少頻寬的浪費。協同式目標尋找方法(CODS)則透過網路節點合作的方式調整傳輸路徑,降低目前已提出的方法中路徑維護造成的網路負擔。
    最後,我們透過TraNS以及NS2來模擬真實情況車輛移動所組成的無線網路環境來驗證此機制的效能。經由模擬結果我們能證明此機制的正確性與可行性,透過CODS-AD,我們成功減少了更新位置服務造成的網路負擔,並同時提升封包的到達率。相信此適應性路由機制及協同式目標尋找機制能為車用隨意無線網路上的封包傳輸提供新的方向與做法。

    With the advances in wireless network technology, the wireless networks can provide the same information service that provided by wired networks. Prices of electronic components decreased gradually, and traffic safety has received more and more attentions. Vehicle Ad-hoc Network be realized and expanded as a research area that has received increased attention from the community.
    In the past decade, a variety of routing protocols have been proposed. They can be divided into topology based routing protocols and position based routing protocols. The topology based routing protocols are connection-oriented and the maintenance and restoration of transmission path decrease the network performance. The position based routing protocols need the position information of destination node. Most of researches assume that there are location services or the destination node is a fixed node. However, location service will cause high control overhead and the assumption of fixed node is unrealistic. In addition, existing position based routing protocols do not adapt its forwarding strategy according to the environment information. This will cause bad next-hop node selection.
    Therefore, this thesis proposes a novel routing protocol, COoperative Destination discovery Scheme with ADaptive routing (CODS-AD). CODS-AD is divided into two parts, adaptive routing and CODS. With adaptive routing, it can dynamically change the forwarding strategy according to the traffic density of road segment to reduce unnecessary waste of bandwidth and increase the delivery ratio. Furthermore, the CODS-AD can find the position of destination node without the support of location service and modify the transmission path dynamically. Therefore, CODS-AD decreases the control overhead caused by periodic update messages that are used to update location services and path maintenance. Finally, we use TraNS and NS2 to simulate the real vehicle mobility and wireless transmission. The proposed scheme, CODS-AD, can decrease the control overhead and achieves high delivery ratio.

    List of Tables VIII List of Figures IX Chapter 1 Introduction 1 1.1 Vehicular Ad-Hoc Network 1 1.2 Characteristics of Vehicular Ad-Hoc Network 3 1.3 Motivation and Objectives 4 1.4 Organization of This Thesis 6 Chapter 2 Related Work 7 2.1 Classification 8 2.2 Proactive Routing Protocols 9 2.2.1 Destination-Sequenced Distance-Vector (DSDV) 9 2.2.2 Optimized Link State Routing Protocol (OLSR) 10 2.3 Reactive Routing Protocols 11 2.3.1 Dynamic Source Routing (DSR) 11 2.3.2 Ad Hoc On-demand Distance Vector (AODV) 12 2.3.3 Connectivity-Aware Routing (CAR) 14 2.4 Hybrid routing protocols 14 2.5 Position-based routing protocols 17 2.5.1 Greedy Perimeter Stateless Routing Protocol (GPSR) 17 2.5.2 Movement Prediction-based Routing (MOPR) 19 2.5.3 Position Prediction (PP)Forwarding 20 2.6 Destination discovery method 21 2.6.1 Route request based destination discovery 22 2.6.2 Location Service based destination discovery 22 Chapter 3 Adaptive routing 23 3.1 Assumptions 23 3.2 Information Table 24 3.3 Packet modes 25 3.3.1 Notation Definition 29 3.3.2 Destination Discovery mode (DD mode) 30 3.3.3 Destination Prediction mode (DP mode) 38 3.3.4 Buffered mode (BF mode) 46 Chapter 4 Cooperative Destination Discovery Scheme 48 4.1 Cooperative Destination Discovery Scheme 48 4.1.1 CODS Routing Request 48 4.1.2 CODS Routing Reply 49 4.1.3 CODS Data Packets Forwarding 49 4.1.4 Example of CODS 50 4.2 ADVANTAGE OF CODS 52 Chapter 5 Simulation and Result 54 5.1 Simulation Tools 54 5.1.1 TraNS 54 5.1.2 NS2 55 5.2 Simulation parameters 56 5.3 Performance Evaluation 58 5.3.1 Comparisons between Different Location Service Update Time Interval 59 5.3.2 Comparison between Location Service and CODS-AD 60 5.3.3 Comparison between PP Forwarding, CAR and CODS-AD 62 Chapter 6 Conclusions and Future Work 64 6.1 Conclusions 64 6.2 Future Work 65 References 66

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