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研究生:蕭智仁
研究生(外文):Jhih-Ren Siao
論文名稱: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(外文):Construction and Reconfiguration Schemes of Reliable Reversed-Routing Tree for Body Sensor Networks
指導教授:許蒼嶺
指導教授(外文):Tsang-Ling Sheu
學位類別:碩士
校院名稱:國立中山大學
系所名稱:電機工程學系研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2013
畢業學年度:102
語文別:中文
論文頁數:77
中文關鍵詞:LQIBSNPLR反向路由樹碰撞
外文關鍵詞:LQIBSNPLRcollisionRRT
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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。
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.
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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