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研究生:劉麟麟
研究生(外文):Lin-Lin Liu
論文名稱:灰預測目標循跡用於無線車輛感測網路
論文名稱(外文):Grey Target Tracking on Vehicular Sensor Networks
指導教授:王億富王億富引用關係
指導教授(外文):Yih-Fuh Wang
學位類別:碩士
校院名稱:立德管理學院
系所名稱:應用資訊研究所
學門:電算機學門
學類:電算機應用學類
論文種類:學術論文
論文出版年:2007
畢業學年度:95
語文別:英文
論文頁數:61
中文關鍵詞:目標循跡車輛感測網路預先繞徑
外文關鍵詞:Pre-route SchemeVehicular Sensor NetworksTarget Tracking
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無線車輛感測網路(wireless vehicular sensor network ;VSN) 是一個在促進傳輸應用發展非常有用的系統。它有別於一般傳統無線感測網路的運作,基本上VSN不太會受到電源的侷限,除了維持訊息傳輸穩定外,更多更重要的安全緣由,確保車輛與車輛間以及車輛與通訊閘道間穩定的連線是必須的,也因此車輛感測網路系統的發展在受到漫遊的環境以及種種不確定交通因素影響下成了一項挑戰,使得如何保持連線的穩定就成為一個重要的議題。在這篇論文中,提出一個藉由灰預測目標循跡的預先繞徑機制,冀期在連線失敗之前能及時運用再繞徑或變換路徑以強化連線,確保車輛感測網路的更趨於穩定。雖然,這一機制因採用灰預測目標循跡而增加了平均的延遲時間(latency)也加重了控制信號(control overhead)的處理,但它確確實實提供了更佳的存活能力和再繞徑的更快速反應。
The wireless vehicular sensor network (VSN) is very useful and promoted for many transportation application systems. However, it does not operate like the traditional wireless sensor network which limited in the power saving. For more important reason on safety, vehicle-vehicle and vehicle-gateway communication must be stable on linking. For the scenario of the vehicle network, the environment with roaming roads and other uncertain traffic conditions which challenges the system. Therefore, how to keep link stability becomes an essential issue. In this thesis, we propose a pre-route scheme with grey target tracking in advance to re-route weak links to alternative routes before failure occurs, i.e., make the vehicular sensor network more stable. Although this scheme increases average latency and control overhead, with grey target tracking, it supports higher survivability and faster reflection on re-routing.
Chapter 1 Introduction....................................1
1.1 Background of Vehicular Sensor Networks........................................1
1.1.1 Inter-Vehicle Communication and Vehicle-to-Road Communication ..............................1
1.1.2 Combined Vehicular Communication...................................5
1.1.3 Vehicular Mesh Networks........................................6
1.2 Motivation..................................8
1.3 Organization................................9
Chapter 2 Target Tracking.......................................11
2.1 Target Tracking.......................................11
2.1 1 Tracking Moving Target.........................................11
2.1.2 Tracking Steps..........................................12
2.2Multicasting.................................................................................14
2.2.1 Multicast Ad Hoc On-Demand distance Vector Protocol (MAODV)........................................18
2.2.2 On-Demand Multicast Routing Protocol (ODMRP)........................................20
Chapter 3 Grey System.........................................25
3.1 Concept of Grey System.........................................25
3.2 Characteristics of Grey System.........................................25
3.3 MGO vs. IMGO and AGO vs. IAGO...........................................27
3.4 Construct the Grey prediction model GM (1,1)..........................................30
3.5 An Example of Grey prediction.....................................35
Chapter 4 The Novel Grey Target Tracking Resilient Routing (GTTRR) Protocol.......................................38
4.1 Communications in Vehicular Sensor Networks........................................................................................38
4.2 RREQ & RREP...........................................39
4.3 GTTRR Procedure......................................41
Chapter 5. Simulations and Analysis.......................................46
5.1 Simulation parameters.....................................46
5.2 Communication Terminologies..................................49
5.3 Simulation Result and Analysis.......................................50
Chapter 6 Conclusion.....................................54
References......................................................................................56
VITA...........................................61
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