博碩士論文 etd-0808113-002215 詳細資訊


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姓名 蕭智仁(Jhih-Ren Siao) 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 102學年第1學期
論文名稱(中) 在BSN網路上建立與重組可靠的反向路由樹的機制
論文名稱(英) Construction and Reconfiguration Schemes of Reliable Reversed-Routing Tree for Body Sensor Networks
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    紙本論文:1 年後公開 (2014-09-09 公開)

    電子論文:使用者自訂權限:校內 1 年後、校外 2 年後公開

    論文語文/頁數 中文/77
    統計 本論文已被瀏覽 5090 次,被下載 503 次
    摘要(中) 本論文在人體感測網路(Body Sensor Networks, BSN)上建立與重組可靠的反向路由樹(Reversed Routing Tree, RRT)的機制,此一反向路由樹有兩個優點,一為使用multi-hop的樹狀架構去取代傳統的one-hop星狀架構以減少封包的碰撞機率,二為在選擇路徑時考慮到連線品質(Link Quality Indicator, LQI)可以讓封包遺失的比率(Packet Loss Ratio, PLR)降低。另外,我們建立的RRT可以針對人體姿勢的突然改變進行重組,使得移動位置的sensor node得以重新加入新的父節點,以顯著的減少PLR;當人體移動速度太快時,RRT所需的重組時間會不斷的增長,導致移動的節點無法重新加入新的父節點,使得資料無法被傳送出去,最後我們藉由設定比較高的LQI門檻值與比較小的量測LQI封包的時間間隔,可以達到較佳的throughput。
    摘要(英) This paper constructs a reconfigurable and reliable reversed-routing tree (RRT). There are two purposes of building the RRT: (i) to avoid packet collisions, we use multi-hop tree structure to replace traditional single-hop Star structure; (ii) to reduce packet loss ratio (PLR), the RRT selects the routes based on the link quality indicator (LQI). Additionally, once there is a sudden human movement, the RRT can reconfigure itself such that a moving sensor node will re-connect to another parent node, which reduces PLR significantly. RRT reconfiguration time will largely increase when human body moves too quickly, which results in a moving sensor node cannot rejoin its new parent and consequently no data can be forwarded. Yet, the throughput can be improved by giving a higher LQI threshold and a smaller packet interval of LQI measurement.
    關鍵字(中)
  • LQI
  • BSN
  • PLR
  • 反向路由樹
  • 碰撞
  • 關鍵字(英)
  • LQI
  • BSN
  • PLR
  • collision
  • RRT
  • 論文目次 第一章 緒論...........................................................1
    1.1 研究動機.....................................................1
    1.2 研究方法.....................................................2
    1.3 章節介紹.....................................................3
    第二章  人體感測網路.............................................4
    2.1 IEEE 802.15.6.............................................4
    2.1.1 PHY ..........................................................4
    2.1.2 MAC ..........................................................6
    2.2 BSN拓樸.....................................................7
    2.3 Link Quality Indicator....................................8
    2.4 相關研究.....................................................9
    2.5 本論文的機制.............................................12
    第三章 可靠的反向路由樹的建立與重組..................14
    3.1 反向路由樹系統架構...................................14
    3.2 反向路由樹協定..........................................15
    3.2.1 建立反向路由樹..........................................16
    3.2.2 Periodical_LQI_Measurement......................18
    3.2.3 Bad_LQI.....................................................18
    3.2.4 反向路由樹的重組.......................................19
    3.3 反向路由樹協定的演算法.............................20
    3.3.1 建立反向路由樹演算法.................................21
    3.3.2 動態重組反向路由樹的演算法.......................23
    第四章 模擬與分析.................................................26
    4.1 NS-2的模擬環境..........................................26
    4.2 模擬程式的架構 ..........................................27
    4.2.1 NS-2的架構.................................................27
    4.2.2 RRT的Pseudocode......................................31
    4.3 模擬結果.....................................................45
    4.3.1 Packet Loss Ratio........................................45
    4.3.2 Average Packet Delay..................................47
    4.3.3 Reconfiguration Time....................................48
    4.3.4 Throughput...................................................50
    4.3.5 電量消耗......................................................51
    4.3.6 時間複雜度...................................................54
    第五章 結論與未來工作............................................57
    5.1 結論.............................................................57
    5.2 未來工作.......................................................58
    參考文獻....................................................................59
    Index ..........................................................................64
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    口試委員
  • 勞伯特律格 - 召集委員
  • 周孜燦 - 委員
  • 李宗南 - 委員
  • 黃國勝 - 委員
  • 許蒼嶺 - 指導教授
  • 口試日期 2013-08-27 繳交日期 2013-09-09

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