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研究生: 呂國祥
Lu, Kuo-Shiang
論文名稱: 在個人區域網路中使用品質優先搜尋機制 來優化以任務為導向的裝置選擇法
Task-based Device Anycasting Using Quality First Search in Personal Area Network
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: 2005
畢業學年度: 93
語文別: 英文
論文頁數: 61
中文關鍵詞: 個人區域網路任務示意圖任一廣播位址對應法
外文關鍵詞: Anycasting, WPAN, Task Graph
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  •   在本論文中,提出了一個有別於廣度優先搜尋任一廣播位址對應裝置選擇法(Device Anycasting Breadth First Search Approach - DA-BFS),我們命名為品質優先裝置選擇法(Device Anycasting Quality First Search Approach - DA-QFS)。在無線個人區域網路(Wireless Personal Area Networks)中,裝置(device)具有移動性(mobility)以及能源(energy)是有限的,需求是要以多個不同種類的裝置來完成一件任務,DA-BFS 在任務示意圖(Task Graph)上僅以該種裝置與其某一連線者之間的反應時間(response time)來判斷選擇與否,固然在選擇判斷的花費時間上較少,但在裝置移動速率增加、裝置能源消耗以及使用者人數增加的環境與考量下,DA-BFS 的改善空間便很明顯。
      DA-QFS 改善了以上的問題,選擇某種裝置時,利用裝置選擇權重演算法(Weighted Instantiation Algorithm - WIA)以該種裝置的所有親代(parents)裝置做選擇考量,並將與該裝置的距離、目前被選取的次數以及各個連線的資料類別納入選擇考量。雖然在做選擇考量上花費較多的時間,但在裝置移動速率增加以及多使用者的環境下,效能評比如:封包延遲時間、封包遺失率、能源消耗量以及裝置重選次數都優於DA-BFS。

     In this thesis, we propose a device searching approach, called Device Anycasting Quality First Search (DA-QFS) approach. In Wireless Personal Area Networks (WPAN), there is already an outstanding algorithm, called Device Anycasting Breadth First Search (DA-BFS) approach, which gets good performance results in less mobility and single user scenario. DA-BFS does save instantiation time in this scenario, but it is still possible to being improved.
     
     Including considerations of number of instantiation, packet types, and device mobility, makes the performance of DA-QFS better than DA-BFS. Via Characterized Task Graph (CTG) and Weighted Instantiation Algorithm (WIA), every device is monitored by its parents and the status of the instantiated devices will be periodically returned to user device to adapt to the changing of the networks due to device mobility. Though the instantiation time of DA-QFS is longer than DA-BFS one, the performance of DA-QFS is better than DA-BFS, especially in multiple users’ and high mobility environment. And even the number of re-instantiation is less than DA-BFS one.

    Contents  VII List of Figures  IX List of Tables  XI Chapter 1 Introduction  1  1.1  Motivation  1  1.2  Thesis Organization  2 Chapter 2 Background  3  2.1  Ad-hoc Routing Protocols  3   2.1.1  On-Demand Routing Protocols  3  2.2  Wireless Personal Area Network  5  2.3  Anycasting  7  2.4  Device Anycasting Breadth First Search Approach  9   2.4.1  Modeling Framework  11   2.4.2  Tasks and Task Graph  12   2.4.3  A Data-flow Tuple Architecture  13   2.4.4  Embedding Process  14   2.4.5  Handing Mobility of Devices  15   2.4.6  Re-instantiation and Bookkeeping  17  2.5  Application Examples  18 Chapter 3 Device Anycasting Quality First Search Approach  21  3.1  Some Problems of BFS Algorithm  21  3.2  Characterized Task Graph  24  3.3  The DA-QFS Approach  26   3.3.1  Weighted Instantiation Algorithm  27   3.3.2  Combined Weighted Metric Calculation Process  32   3.3.3  Instantiation Process  35   3.3.4  Re-instantiation Process  37 Chapter 4 Simulation and Analysis  39  4.1  Home Media Center Scenario  39  4.2  Simulation Parameters  41  4.3  Performance Metrics  42  4.4  Experimental Results  43   4.4.1  Performance Comparisons  43   4.4.2  Overhead Comparisons  50 Chapter 5 Conclusions and Future Work  59  5.1  Conclusions  59  5.2  Future work  59 References  60

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