研究生: |
郭桐惟 Kuo, Tung-Wei |
---|---|
論文名稱: |
在無線感測器網路上建構最小消耗能量的資料集結樹:NP-完全性證明與近似演算法 Construction of Data Aggregation Trees with Minimum Energy Cost in Wireless Sensor Networks : NP-Completeness and Approximation Algorithms |
指導教授: |
蔡明哲
Tsai, Ming-Jer |
口試委員: |
劉炳宏
林靖茹 |
學位類別: |
碩士 Master |
系所名稱: |
電機資訊學院 - 資訊工程學系 Computer Science |
論文出版年: | 2011 |
畢業學年度: | 99 |
語文別: | 中文 |
論文頁數: | 34 |
中文關鍵詞: | 資料集結樹 、NP-完全 、近似演算法 |
相關次數: | 點閱:1 下載:0 |
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在許多應用中,匯點會定期的蒐集來自感測器的資料。因為這種資料蒐集的動作通常會持續許多回合,所以有效率的蒐集這些資料-也就是減少傳輸資料的所需的能量,是很重要的。在這類應用中,為了減少維護路由表所需的計算資源,樹通常會做為一種路由架構。在這篇論文中,我們會研究如何建構一個消耗最少能量的資料集結樹。此外,我們還研究了這個問題在無線感測網路出現中繼點的情形。我們證明了這兩個問題都是NP-complete,而且針對這兩個問題各自提出了O(1)的近似演算法。實驗證明了我們提出的方法在降低消耗能源上有很好的效果。
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