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研究生:蕭文凱
研究生(外文):Wen Kai, Hsiao
論文名稱:應用方向性天線於動態感測節點自動散佈問題之研究
論文名稱(外文):A study on automatic deployment for mobile wireless sensor nodes equipped with directional antennas
指導教授:鄭瑞恒鄭瑞恒引用關係
指導教授(外文):Rei-Heng, Cheng
學位類別:碩士
校院名稱:玄奘大學
系所名稱:資訊科學學系碩士班
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2007
畢業學年度:95
語文別:中文
論文頁數:35
中文關鍵詞:無線感測網路覆蓋問題天線
外文關鍵詞:Wireless Sensor NetworkCoverage Problemantenna
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  • 收藏至我的研究室書目清單書目收藏:1
無線感測網路(Wireless Sensor Networks),是由一群分散的無線感測節點所組成,並且可以自動組織成一個連結網路。它可用於一些危險區域的監測;例如戰場與雨林等人類不易進入區域。因此如何能自動的將感測節點散佈於欲監測區域之中,就成了無線感測網路的一項重要議題。
部份論文假設節點配置全球定位系統(GPS)以達到在監視區域中自動分散節點的目的。但是GPS增加了感測節點的製作成本,同時也面臨特定環境中無法接收衛星訊號而無法發揮作用的問題。本篇論文利用吸力與斥力的觀念提出了一個節點自動散佈的方法,在不使用GPS的情況下, 利用方向性天線與信號強度的方式獲得節點間相對的位置資訊。本文最後提出了一些模擬的結果以討論所提方法的效能。
A Wireless Sensor Network consists of a group of wireless sensor nodes which can self-organize to form a connected network. It can be applied to monitor some hazardous places, such as battlefields and rain forests. In these hazardous places, people cannot get in easily. Thus, how to deploy the sensor nodes as uniformly as possible becomes an important issue for wireless sensor networks.
Some researches assume that the sensor nodes are equipped with GPS devices. However, equipping with GPS increases the cost of sensor nodes. Also, GPS may not work well in some circumstances. In this paper, we propose an automatic deployment method based on the concept of attractive and repulsive forces among particles. Instead of GPS, directional antenna and signal strength are used to calculate the related positions of nodes. Some simulation results are given at the last of this paper to evaluate the performance of the proposed method.
目錄 iii
圖目錄 iv
表目錄 v
第一章 緒論 1
1.1 概論 1
1.2 研究動機與目的 2
1.3 論文架構 3
第二章 研究背景與文獻探討 4
2.1 無線感測網路之探究 4
2.2 無線感測網路覆蓋問題之研究 7
2.3 取得位置資訊方法 12
2.3.1 全球定位系統(Global Position System,GPS) 12
2.3.2 信號抵達方位角(Angle of Arrival,AOA) 12
2.3.3 接收訊號強度指標(Received Signal Strength Indication,RSSI) 13
第三章 以人工位能場為基礎的天線配置演算法 15
3.1 天線原理 15
3.2 天線配置演算法 16
3.3 合力公式計算 17
第四章 實驗模擬環境與結果 19
4.1 實驗環境參數設定 19
4.2 實驗模擬結果 20
第五章 結論 30
5.1 結論 30
5.2 未來展望 31
參考文獻 31
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