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研究生:林克叡
研究生(外文):Ko-Jui Lin
論文名稱:以圖為基礎之非對稱機會網路之研究
論文名稱(外文):Graph-based Asymmetric Opportunistic Networks with Applications
指導教授:俞征武俞征武引用關係
指導教授(外文):Yu, Chang Wu
學位類別:碩士
校院名稱:中華大學
系所名稱:資訊工程學系碩士班
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2014
畢業學年度:102
語文別:中文
論文頁數:37
中文關鍵詞:機會網路自行車網路設站策略移動模型
外文關鍵詞:Opportunistic networkBikeNetstation decisionmobility model
相關次數:
  • 被引用被引用:1
  • 點閱點閱:285
  • 評分評分:
  • 下載下載:5
  • 收藏至我的研究室書目清單書目收藏:0
機會網路是個非常不穩定的網路通訊架構,僅藉由通訊設備隨意移動再互相靠近的情況下才可以進行資料的傳遞。傳統機會網路都是考慮在一個無障礙的空間範圍內進行隨意的移動,但這種情境僅可適用在少數環境下,如天空中,大海上等俱有非常空曠地形的環境進行移動。這樣的假設不符合實際應用的情形,一般在陸地上的移動都會受限於道路影響,較無法自由的移動。
因此在此論文中,我們提出適用於道路上的機會網路-以圖論為基礎之非對稱性機會網路(Graph based asymmetric opportunistic network)與其移動模型。在graph based opportunistic networks中,我們強調了道路重要性,所有移動的通訊裝置都是在可行進的道路上移動,也就是受到障礙物影響而限制的移動,在受道路限制移動的情況我們覺得能更符合實際應用,同時也適用更多變的地理環境。
除了道路性考量的Graph based opportunistic network,我們也同時考慮每個地點到達的可能性(機率)不同,此處稱為不對稱性(asymmetric)。Graph based asymmetric opportunistic network指的是某些較熱門的地區經過的人會較不熱門的地區多,或是較容易行進的路線會較不容易行進的路線人多,還有更多的條件可能造成一個區域每條到達或離開的路徑使用比率不同,我們也認為加上這個條件能使移動模型更加真實,更貼近現實生活環境。因此,我們提出非對稱性機會網路的概念(Asymmetric Opportunistic Network)。此移動模型比前人模型更可以較接近真實的移動方式。
除此之外,此論文同時探討在Graph Based Asymmetric Opportunistic Network下如何佈署固定數量的資訊交換站來提升整體網路的傳遞效能。透過本篇論文的研究我們希望能以借用圖論的技巧,以理論客觀的角度,來找出各個可增進資訊交換的地點來設置資訊交換站,並且希望此概念可以應用於更多貼近的現實環境。
另外,本篇論文模擬一個自行車機會網路的情境。此網路以自行車網路(BikeNet)為基礎,在一個自行車休閒遊憩場所,自行車配備有可通訊的設備,可進行互相通訊功能,形成自行車網路,並以佈建公共自行車系統(PBS)做為固定的資訊交換場所。

Opportunistic network is an unreliable network architecture, and each mobile device can only directly communicate within the mobile devices which are within the communication range. Previous results usually assume that mobile devices in opportunistic network can move in an area without obstacle, but this condition seems unrealistic because many space may exist obstacles such as sky area, ocean area etc. In this thesis, we proposed a graph-based asymmetric opportunistic network, which is more appropriate to real applications. Graph based asymmetric opportunistic network also emphasized that the popular place in a deployed area has higher road usage rate than other.
This thesis also discusses how to deploy a fixed number of information exchange stations to enhance the packet delivery ratio and delay time of a given graph based asymmetric opportunistic network. We define a mobility model by using the graph technique, and use this model to find out where to locate an information exchange station. Finally, we also demonstrate the contribution of the proposed ideas by conducting simulations in a bicycle asymmetric opportunistic network.

摘要 i
Abstract iii
圖目錄 v
第一章 簡介 1
第一節 無線感測網路簡介 2
第二節 機會網路簡介 4
第三節 機會網路移動模型 6
第四節 研究動機 7
第二章 機會網路相關應用與研究 9
第一節 機會網路應用 9
第二節 機會網路研究 10
第三章 自行車隨意網路 12
第一節 公共自行車系統(PBS) 12
第二節 自行車旅遊 13
第三節 自行車隨意網路 14
第四章 以圖為基礎之非對稱機會網路 15
第一節 移動模型定義 15
第二節 網路通訊模式 16
第三節 移動模型 16
第五章 以圖為基礎之非對稱機會網路之數學分析 20
第一節 相遇方式 20
第二節 期望通訊機率 21
第三節 加入資訊交換站的期望通訊機率 27
第六章 實驗結果 30
第一節 模擬環境 30
第二節 實驗結果 30
第七章 結論與未來方向 34
參考文獻 35

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