| 研究生: |
林志勳 Lin, Chih-Hsun |
|---|---|
| 論文名稱: |
IEEE 802.11e 上可平衡對內與對外資料傳輸效能的動態對映演算法 A dynamic mapping algorithm for balancing ex-ternal and local traffic on IEEE 802.11e WLANs |
| 指導教授: |
謝錫堃
Shieh, Ce-Kuen |
| 共同指導教授: |
黃文祥
Hwang, Wen-Shyang |
| 學位類別: |
碩士 Master |
| 系所名稱: |
電機資訊學院 - 電腦與通信工程研究所 Institute of Computer & Communication Engineering |
| 論文出版年: | 2013 |
| 畢業學年度: | 101 |
| 語文別: | 英文 |
| 論文頁數: | 34 |
| 中文關鍵詞: | 基礎架構 、公平性 、負載平衡 、相容性 、IEEE 802.11e |
| 外文關鍵詞: | Infrastructure, fairness, throughput balance, compatibility, IEEE 802.11e |
| 相關次數: | 點閱:89 下載:1 |
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由於Wi-Fi 行動裝置的普及,導致越來越多的使用者透過無線傳輸的方式進行上網,這也使得無線網路傳輸的相關研究議題變得非常熱門且值得探討。然而,本文章發表的研究主要是針對市面上目前數位家庭經常使用的Wi-Fi小型無線區域網路中,提高Wi-Fi設備間使用上的相容性,又能兼顧不影響資料流間的傳輸吞吐量平衡性,例如上傳/下載資料流之間、對內/對外資料流之間的吞吐量平衡等,並且提出公平性分析來驗證效能。在本論文當中,我們提出可用於無線網路802.11e EDCA模式下的TCP傳輸平衡方法,在不違反相容性的情況之下,利用多重佇列的概念,將不同性質的資料流作流量分配與佇列對映演算法,以及修正 Infrastructure模式底下既有的無線基地台弱勢問題,透過傳輸吞吐量與公平性計算驗證效能,由實驗結果可以看出有效維持 IEEE 802.11e TCP資料流間的吞吐量平衡,並利用多種情境驗証實用性,最後將實驗分析結果進行討論,並提出多重佇列對無線網路未來架構的發展性。
Due to the penetration rate of Wi-Fi, more and more users get on internet by wireless network, articles about IEEE 802.11 wireless local area networks (WLANs) become more popular. Therefore, this research investigated issues in the Wi-Fi small scale WLANs, raise the compatibility between Wi-Fi devices, but doesn’t affect the throughput balance be-tween different direction traffics, for example, the fairness issue among uplinks and down-links, external links, local links, and evaluate performance by the fairness metric. In our re-search, we proposed a TCP throughput balance transmission scheme in IEEE 802.11e EDCA, in order to maintain high compatibility, we design a simple multiple queue mapping algorithm, to balance different type of data flow. At the same time, we also modify the drawback of access point (AP) in 802.11 infrastructure, and then evaluate performance by throughput and fairness metric. Simulation results show that we balance the aggregate throughput between TCP connection without modifying user device, and we address the expansibility of multiple queue management in the future.
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