博碩士論文 etd-0628107-103859 詳細資訊


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姓名 劉維昌(Wei-chang Liu) 電子郵件信箱 E-mail 資料不公開
畢業系所 電機工程學系研究所(Electrical Engineering)
畢業學位 碩士(Master) 畢業時期 95學年第2學期
論文名稱(中) 在無線感測網路中針對多個行動收集點的適應性網格資料收集法
論文名稱(英) Adaptive Grid-Based Data Collection Scheme for Multiple Mobile Sinks in Wireless Sensor Networks
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    摘要(中) 在日新月異的時代,不同的通訊網路技術出現在我們的生活中,而無線感測網路便是其中之一,在此網路架構中經由大量的感測器(Sensor)收集資料,然後透過感測網路中的網格點,將資料利用多點跳躍(Multi-hop)的方式傳送給收集點(Sink)。在無線感測網路中,因為每個網格點接收到的資料量並不相同,容易造成某些網格點消耗較多的能量及可能的封包遺失。為了改善以上所述的缺點,本論文提出動態調整網格邊長的機制,令原本負責傳送資料的主要網格點,根據本身的資料流量來調整邊長、尋找暫時網格點,並且由於Sink增加、移動、資料收集間隔改變等種種因素,網路中的資料流也會改變,因此需找尋不同的暫時網格點,如此一來可將Traffic Load分散至不同的網格點,而在加入暫時網格點後,也可幫助主要網格點使用較小的傳送功率,平衡網格的能量消耗,且暫時網格點可幫助達到資料分流的效果,減少了封包的遺失。我們選擇以NS-2模擬軟體為基礎,在模擬器中新增Sink主動建立網格及動態調整邊長的機制,最後經由模擬,証明加入了我們所提出的動態調整網格邊長機制後,可使無線感測網路達到節省功率的效果,且由於減少了網格點的封包遺失,因此也提升了感測網路的整體輸出率。
    摘要(英) Wireless Sensor Network (WSN) has become a popular wireless technology in recent years. In WSN, a large number of sensors are used to collect data and forward data hop-by-hop to a sink. Due to the unbalancing of traffic load, some grid nodes may consume more energy and their packet loss ratio may be increased as well. In order to improve above-mentioned shortcomings, in this Thesis, we propose an Adaptive Grid-based Data Collection (AGDC) scheme. Because a mobile sink may move, it is possible the traffic load of primary grid nodes can be changed in WSN. According to the distribution of traffic load, the AGDC can adjust transmission range to allocate one or more temporary grid nodes between two primary grid nodes. Through the added temporary grid nodes, traffic load is evenly dispersed among different grid nodes. We allow the primary grid nodes to use smaller transmission power to save energy and allow the temporary grid nodes to buffer data to reduce packet loss ratio. For the purpose of evaluation, we perform simulation on NS-2. With the proposed AGDC scheme, the transmission range of a primary grid node can be set to an appropriate distance to reduce power consumption and packet loss ratio. Since the packet loss ratio is reduced, the throughput of entire WSN is increased.
    關鍵字(中)
  • 路由
  • 資料收集
  • 網格架構
  • 感測網路
  • 關鍵字(英)
  • Mobile Sinks
  • Routing
  • Data Collection
  • Wireless Sensor Network
  • Grid-Based
  • 論文目次 第一章 導論
    1.1 研究動機
    1.2 研究方向與方法
    1.3 章節介紹
    第二章 無線感測網路的相關研究
    2.1 無線感測網路
    2.1.1 簡介
    2.1.2 無線感測網路的通訊協定
    2.2 無線感測網路的路由相關研究
    2.2.1 以鏈為基礎(Chain Based)
    2.2.2 以樹為基礎(Tree Based)
    2.2.3 以叢集為基礎(Cluster Based)
    2.2.4 以網格為基礎(Grid Based)
    2.3 在無線感測網路中各種路由的效能比較
    2.4 本論文的網格路由協定
    第三章 網格邊長的動態調整機制
    3.1 能量消耗與封包遺失率
    3.1.1 感測網路的能量消耗
    3.1.2 感測網路的封包遺失率
    3.2 網格的建立與邊長調整
    3.2.1 初始網格的建立
    3.2.2 Query及資料流的傳送
    3.2.3 網格邊長的動態調整
    3.3 整體運作流程圖
    第四章 模擬機制與結果分析
    4.1 NS-2模組架構
    4.2 模擬實驗與參數設定
    4.3 模擬結果與分析討論
    4.3.1 網格點的電力消耗
    4.3.2 資料收集間隔與平均封包延遲
    4.3.3 網格點的封包遺失率
    4.3.4 資料收集間隔與整體輸出率
    第五章 結論與未來工作的方向
    5.1 結論
    5.2 未來工作
    REFERENCES
    INDEX
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    [4]Vijay Raghunathan, Saurabh Ganeriwal, and Mani Srivastava, “Emerging Techniques for Long Lived Wireless Sensor Networks,” IEEE Communications Magazine, vol. 44, no. 4, pp.108-114, Apr. 2006.
    [5]Bhaskar Krishnamachari, Deborah Estrin, and Stephen Wicker, “Modelling Data-Centric Routing in Wireless Sensor Networks,” IEEE Conference on Computer Communications, pp.42-49, Mar. 2002.
    [6]Stephanie Lindsey, Cauligi Raghavendra and Krishna M. Sivalingam, “Data Gathering Algorithms in Sensor Networks Using Energy Metrics,” IEEE Transactions on Parallel and Distributed Systems, vol. 13, no. 9, pp. 924-935, Sep. 2002.
    [7]Stephanie Lindsey and Cauligi Raghavendra, “PEGASIS: Power-Efficient Gathering in Sensor Information Systems,” IEEE Aerospace Conference, vol. 3, no. 9, pp.1125-1130, Mar. 2002.
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    [16]Arati Manjeshwar and Dharma P. Agrawal, “TEEN: A Routing Protocol for Enhanced Efficiency in Wireless Sensor Networks,” International Parallel and Distributed Processing Symposium, pp.2009-2015, Apr. 2001.
    [17]Guang-yao Jin, Xiao-yi Lu, and Myongsoon Park, “Dynamic Clustering for Object Tracking in Wireless Sensor Networks,” Lecture Notes in Computer Science, vol. 4239, pp.200-209, Spring 2006.
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    [20]Hung Le Xuan, Dae Hong Seo, Sungyoung Lee, and Young-Koo Lee, “Minimum-Energy Data Dissemination in Coordination-based Sensor Networks,” International Conference on Embedded and Real-Time Computing Systems and Applications, pp. 381-386, Aug. 2005.
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    [24] Shiow-Fen Hwang, Kun-Hsien Lu, and Chyi-Ren Dow, “A Grid-Based Manycast Scheme for Large Mobile Ad Hoc Networks,” International Conference on Information Networking, pp.276-285, Jan. 2006.
    [25] The Network Simulator NS-2, http://www.isi.edu/nsnam/ns/
    口試委員
  • 賴威光 - 召集委員
  • 童曉儒 - 委員
  • 高榮鴻 - 委員
  • 黃宗傳 - 委員
  • 許蒼嶺 - 指導教授
  • 口試日期 2007-06-22 繳交日期 2007-06-28

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