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系統識別號 U0002-2506201011463700
DOI 10.6846/TKU.2010.00878
論文名稱(中文) 具增進UPnP服務品質的智慧型家庭網路存取點
論文名稱(英文) UPnP QoS Enhanced in Intelligent Home Network Access Points
第三語言論文名稱
校院名稱 淡江大學
系所名稱(中文) 電機工程學系碩士在職專班
系所名稱(英文) Department of Electrical and Computer Engineering
外國學位學校名稱
外國學位學院名稱
外國學位研究所名稱
學年度 98
學期 2
出版年 99
研究生(中文) 康嘉峰
研究生(英文) Chia-Feng Kang
學號 797440244
學位類別 碩士
語言別 繁體中文
第二語言別
口試日期 2010-06-11
論文頁數 61頁
口試委員 指導教授 - 李維驄(wtlee@mail.tku.edu.tw)
委員 - 林志敏(jimmy@fcu.edu.tw)
委員 - 朱國志(kcchu@mail.lhu.edu.tw)
委員 - 吳庭育(tyw@mail.tku.edu.tw)
關鍵字(中) UPnP(通用隨插即用協定)
數位家庭
自動偵測
零組態自動配置
UPnP QoS
關鍵字(英) UPnP (Universal Plug and Play Agreement)
digital home
automatic detection
zero-configuration Automatic configuration
UPnP QoS
第三語言關鍵字
學科別分類
中文摘要
UPnP (Universal Plug and Play) 隨著網路逐漸的普及也扮演著個人與家庭網路間的重要角色,數位家庭這名詞變成了未來的趨勢,也成為一個熱門的議題,其中又以微軟主推的UPnP為標準,還由加入UPnP Forum多家廠商共同制定出的家庭網路介面標準。
UPnP提供了自動偵測、零組態自動配置等重要功能。UPnP AV (UPnP Audio / Video) 網路中多媒體檔案做分享時採用串流方式做傳輸檔案或是當下有多種服務請求同時啟用存在時(FTP、Streaming、VoIP),會遇到不同服務請求運作而導致網路頻寬逐漸不足與服務品質變差等議題。
於是我們基於UPnP QoS(Quality of Service)的架構,加強了原本UPnP QoS Architecture並將此新架構運用在標準無線AP上重新定義出本論文建議之IAP (Intelligent Access Point) 架構,並搭配本論文所提出之UPnP QoS Algorithm來進行網路頻寬的掠奪運算與剩餘頻寬重新分配演算法,使其支援即時監控網路頻寬與動態調整多媒體串流封包傳輸時的頻寬量,並利用IAP與User等裝置兩者間互相配合執行主動偵測與調整來提高網路整體的服務品質,來達到較高頻寬的使用率與本論文所期望之服務品質。
最後可透過模擬結果得知我們所建議之方法可使整體服務品質達到所期望的結果,且也能服務更多提出服務請求的新用戶端,讓整體網路頻寬得以充分運用。
英文摘要
With the gradual prevalence of the Internet, UPnP (Universal Plug and Play) plays an important role between individuals and home network. Nowadays, the term “digital home” has become not only a hot issue but also the future trend. The main standard UPnP was proposed by Microsoft and the common standards for home networking interfaces were further released by UPnP Forum.
Important functions of UPnP include automatic detection and zero-configuration automatic configuration. When UPnP AV (UPnP Audio / Video) shares multimedia files by streaming or a variety of services request at the same time, like FTP, Streaming and VoIP, that will encounter different service request operation gradually lead to lack of network bandwidth and quality of service issues.
Therefore, based on UPnP QoS (Quality of Service) architecture, we strengthen the original one, apply it to standard wireless APs, and propose the IAP (Intelligent Access Point) framework in this paper. Moreover, with our proposed UPnP QoS Algorithm, we can calculate the remaining network bandwidth and re-allocate the bandwidth to support real-time monitoring and to dynamically adjust the bandwidth of multimedia streaming transmissions. In addition, the devices IAP and User are adopted collaboratively for automatic detection and adjustment to enhance the network QoS for higher bandwidth utilization and our desired QoS.
Finally, the simulation results reveal that our proposed method promotes the Qos to the desired level and helps to serve more new clients who request services so that the network bandwidth can be utilized efficiently.
第三語言摘要
論文目次
目    錄
第一章  緒論	- 1 -
1.1	前言	- 1 -
1.2	動機與目的	- 2 -
1.3	論文章節架構	- 3 -
第二章  相關研究	- 4 -
2.1	通用隨插即用(Universal Plug and Play)	- 4 -
2.1.1	通用隨插即用(UPnP)元件	- 5 -
2.1.2	通用隨插即用(UPnP)傳輸協定堆疊	- 7 -
2.1.3	UPnP 運作流程	- 10 -
2.2	UPnP AV	- 16 -
2.2.1	UPnP AV元件	- 17 -
2.3	UPnP QoS	- 19 -
第三章  基於智慧型存取點裝置上建置UPnP 服務品質演算法	- 22 -
3.1	系統架構	- 23 -
3.2	基於IAP裝置上初始化設定程序	- 25 -
3.3	IAP主動偵測與調整設定程序	- 27 -
3.4	User主動偵測與調整設定程序	- 29 -
3.5	定義UPnP服務品質演算法	- 32 -
3.5.1	UPnP QoS Algorithm	- 32 -
3.5.2	UPnP 服務品質演算法流程圖	- 38 -
第四章 模擬結果	- 40 -
4.1	模擬環境	- 40 -
4.2	模擬參數設定	- 42 -
4.3	模擬結果與分析	- 43 -
第五章  結論與未來展望	- 57 -
參考文獻	- 59 -

圖目錄
圖2.1 UPnP基本元件圖[1]	- 5 -
圖2.2 UPnP裝置協定堆疊	- 7 -
圖2.3 UPnP 運作流程圖	- 10 -
圖2.4 UPnP 操作流程圖-控制點加入網路	- 12 -
圖2.5 UPnP 操作流程圖-裝置加入網路	- 12 -
圖2.6 UPnP 操作流程圖- Description	- 13 -
圖 2.7 UPnP 操作流程圖- Control	- 14 -
圖 2.8 UPnP 操作流程圖- Event	- 15 -
圖 2.9 UPnP 操作流程圖- Presentation	- 15 -
圖2.10 UPnP AV Architecture	- 16 -
圖2.11 UPnP 服務品質架構圖	- 20 -
圖3.1 建置 UPnP 服務品質架構於存取點	- 23 -
圖3.2 Enhanced UPnP QoS Based on AP初始化設定程序圖	- 25 -
圖3.3 IAP主動偵測與調整設定程序圖	- 27 -
圖3.4 User主動偵測與調整設定程序圖	- 31 -
圖3.5 服務群組分類示意圖	- 34 -
圖3.6 頻寬分配示意圖	- 35 -
圖3.6 UPnP QoS Algorithm流程圖	- 39 -
圖4.1 系統模擬環境	- 41 -
圖4.2 無機制取得服務所需等待次數	- 44 -
圖4.3 有機制取得服務所需等待次數	- 45 -
圖4.4 三種服務類型無機制之所有封包取得服務所需等待次數	- 45 -
圖4.5 三種服務類型有機制之所有封包取得服務所需等待次數	- 46 -
圖4.6 Streaming無機制發生等待次數與線上人數統計圖	- 47 -
圖4.7 Streaming有機制發生等待與等待次數統計圖	- 49 -
圖4.8 Streaming無機制vs.有機制取得服務所需等待次數	- 50 -
圖4.9無機制vs.有機制線上服務人數	- 51 -
圖4.10無機制vs.有機制前100個封包線上服務人數	- 52 -
圖4.11 有機制與無機制三種服務之成功率vs.失敗率	- 54 -
 
表目錄
表2.1 UPnP QoS架構[3][19]版本對照表	- 21 -
表3.1 服務類型之頻寬範圍定義表	- 32 -
表4.1三種服務之失敗率	- 53 -
表4.2三種服務平均等待時間	- 55 -
表4.3三種服務封包遺失率	- 56 -
參考文獻
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