跳到主要內容

臺灣博碩士論文加值系統

(216.73.217.86) 您好!臺灣時間:2026/11/02 12:24
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:林育煦
研究生(外文):Yu-Hsu Lin
論文名稱:在隨意式無線網路下基於通道狀態之動態調適退避窗口之研究
論文名稱(外文):Dynamic Adaptive Backoff Algorithm Based on Channel State in Wireless Ad Hoc Networks
指導教授:鍾添曜
學位類別:碩士
校院名稱:元智大學
系所名稱:資訊工程學系
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:2010
畢業學年度:98
語文別:英文
論文頁數:28
中文關鍵詞:分散式協調機能、退避算法、競爭窗口、移動隨意式網路、動態調適退避算法
外文關鍵詞:DCF、Backoff algorithm、Contention window、MANET、DABA
相關次數:
  • 被引用被引用:0
  • 點閱點閱:180
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
傳統的IEEE 802.11 DCF,是採用隨機退避窗口機制,提供競爭式無線網路通道存取的方法。但近來許多的研究顯示,這些傳統的退避機制,通常只適於低的或是高的活躍節點密度的網路環境。尤其是在隨意式無線網路,活躍節點數會經常的改變,當競爭窗口的收斂慢,會在短期間造成較高的碰撞或延遲(delay)現象,所以傳統的退避機制並不適用於隨意式無線網路。因此,本論文提出了一種新的競爭窗口算法稱為動態自適應退避算法(DABA)。它可以根據現行網路的狀態,動態地調整合適的競爭窗口,以加速競爭窗口的收斂速度和提高網路效能。通過深入的分析吞吐量與競爭窗口的關係後,我們證實DABA方法的效能表現優於現有傳統的退避算法

The traditional IEEE 802.11 DCF incorporates a random backoff scheme to provide a contention-based channel access mechanism in wireless networks. However, according to recent research, legacy schemes are only appropriate in a network environment of low or high active nodes density. In mobile ad hoc networks (MANETs), the number of active nodes changes dynamically. Thus, slow convergence of contention window (CW) could cause high collision and large delay. This makes the legacy backoff scheme not suitable for MANETs. Therefore, this thesis presents a novel backoff algorithm called Dynamic Adaptive Backoff Algorithm (DABA) to speed up CW convergence and increase network throughput by adjusting CW size dynamically according to network states. Through thorough analysis on the relationship between CW size and throughput, we confirmed that DABA performs superior to existing legacy backoff schemes.

ABSTRACT IN CHINESE IV
ABSTRACT IN ENGLISH V
ACKNOWLEDGEMENT VI
TABLE OF CONTENTS VII
LIST OF FIGURES VIII
LIST OF TABLES IX
1. INTRODUCTION 1
1.1. BACKGROUND AND MOTIVATION 1
1.2. PROPOSED APPROACH AND CONTRIBUTION 2
1.3. ORGANIZATION OF THE THESIS 2
2. RELATED WORK 3
2.1. BACKOFF SCHEME APPROACH 3
2.2. NON-MEASUREMENT BASED SCHEME 3
2.3. MEASUREMENT BASED SCHEME 7
2.4. COMPARISON OF RELATED WORKS 8
3. DYNAMIC ADAPTATION BACKOFF ALGORITHM 10
3.1. THROUGHPUT ANALYSIS 10
3.2. DESIGNING PRINCIPLES OF THE BACKOFF ALGORITHM 13
3.3. BEACON PARAMETERS 14
3.4. DESCRIPTION OF THE DABA ALGORITHM 15
4. SIMULATION RESULTS 19
4.1. SIMULATION ENVIRONMENT AND PARAMETERS 19
4.2. COMPARISONS OF SATURATION THROUGHPUT 20
4.3. RETRANSMISSION ATTEMPTS AND MEDIUM ACCESS DELAY 22
4.4. FAIRNESS OF DABA SCHEME 25
5. CONCLUSION AND FUTURE WORKS 26



[1]IEEE 802.11, standard for Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, March 2007.
[2]G. Bianchi, “Performance analysis of the IEEE 802.11 distributed coordination function,” IEEE Journal on Selected Areas in Communications, vol. 18, no.3, pp. 535-547, March 2000.
[3]K. Takahash and T. Tsuboi, “A backoff algorithm for improving saturation throughput in IEEE 802.11 DCF,” in Proc. IST Mobile & Wireless summit, Jun. 2005.
[4]A. L. Toledo, T. Vercauteren, and X. Wang, “Adaptive optimization of IEEE 802.11 DCF based on bayesian estimation of the Number of Competing Termi-nals,” IEEE Transactions on Mobile Computing, vol. 5, no. 9, September 2006.
[5].D. J. Deng, C. H. Ke, H. H. Chen, and Y. M. Huang, “Contention window opti-mization for IEEE 802.11 DCF access control,” IEEE Transactions on Wireless Communications, vol. 7, no. 12, pp. 5129-5135, December 2008.
[6]G. Bianchi, L. Fratta, and M. Oliveri, “Performance evaluation and enhancement of the CSMA/CA MAC protocol for IEEE 802.11 wireless LANs,” in Proc. IEEE PIMRC, vol. 2, pp. 392-396, October 1996.
[7]F. Cali, M. Conti, and E. Gregori, “IEEE 802.11 protocol: design and perform-ance evaluation of an adaptive backoff mechanism,” IEEE Journal on Selected Areas in Communications, vol.18, no. 9, pp.1774-1786, September 2000.
[8]Q. Pang, S. C. Liew, J. Y. B. Lee, and V. C. M. Leung, “Performance evaluation of an adaptive backoff scheme for WLAN,” Wireless Communications and Mo-bile Computing, vol. 4, no. 8, pp. 867-879, December 2004.
[9]Q. Ni, I. Aad, C. Barakat, and T. Turletti, “Modeling and analysis of slow CW decrease for IEEE 802.11 WLAN,” in Proc. IEEE PIMRC 2003, vol. 2, pp.1717-1721, September 2003.
[10]K. Medepalli and F. A. Tobagi, “On optimization of CSMA/CA based wireless LANs: part I - impact of exponential backoff,” in Proc. IEEE ICC 2006, vol. 10, pp. 4799-4804, June 2006.
[11]J. Deng, P. K. Varshney, and Z. J. Haas, “A new backoff algorithm for the IEEE 802.11 distributed coordination function,” in Proc. CNDS 2004, pp. 215-225, 2004.
[12]M. Durvy, O. Dousse, and P. Thiran, “Self-organization properties of CSMA/CA systems and their consequences on fairness,” IEEE Journal on Information The-ory, vol.55, no. 3, pp. 931-943, March 2009.
[13]M. Durvy, O. Dousse, and P. Thiran, “On the fairness of large CSMA networks,” IEEE Journal on Selected Areas in Communications, vol. 27, no. 7, pp. 1093-1104, September. 2009.
[14]S.-R. Ye and Y.-C. Tseng, “A multichain backoff mechanism for IEEE 802.11 WLANs,” IEEE Transactions on Vehicular Technology, vol. 55, no. 5, pp. 1613-1620, September 2006.
[15]P. Chatzimisions, V. Vitasas, A. Boucouvalas, and M. Tsoulfa, “Achieving per-formance enhancement in IEEE 802.11 WLANs by using the DIDD backoff mechanism,” International Journal of Communication Systems, vol. 20, no. 1, pp. 23-41, January 2007.
[16]V. Bharghavan, A. Demers, S. Shenker, and L. Zhang, “MACAW: a media access protocol for wireless LAN’s,” in Proc. ACM SIGCOMM’94, pp. 212-225, 1994.
[17]Y. Kwon, Y. Fang, and H. Latchman, “A novel mac protocol with fast collision resolution for wireless LANs,” in Proc. IEEE INFOCOM, pp. 793-807, April 2003.
[18]C. Wang, B. Li, and L. Li, “A new collision resolution mechanism to enhance the performance of IEEE 802.11 DCF”, IEEE Transactions on Vehicular Technology, vol. 53, no. 4, pp. 1235-1246, July 2004.
[19]C.-H. Lin, C.-K. Shieh, W.-S. Hwang, C.-H. Ke, “An exponential-linear backoff algorithm for contention-based wireless net-works”, in Proc. ACM Mobility 2008, article no. 42, September 2008.
[20]Y. Peng, H. Wu H, S. Cheng, and K. Long, “A new self-adapt DCF algorithm,” in Proc. IEEE GLOBCOM 02, pp.78-91, November 2002.
[21]J. B. Kim, J. H. Kim, Y. A. Song, and J. G. Kim, “A self-tuning contention reso-lution scheme for IEEE 802.11 wireless LAN,” in Proc. IEEE ICACT 2006, vol.1, pp.565-569, February 2006.
[22]J. Lv, X. M. Zhang, X. J. Han, and Y. Y. Fu, “A novel adaptively dynamic tuning of the contention window (CW) for distributed coordination function in IEEE 802.11 ad hoc networks”, in Proc. IEEE ICCIT 07, November 2007.
[23]F. Cali, M. Conti, and E. Gregori, “Dynamic tuning of the IEEE 802.11 protocol to achieve a theoretical throughput limit,” IEEE Transactions on Networking, vol. 8, no. 6, pp. 785-799, December 2000.
[24]R. Jain, A. Durresi, and G. Babic, “Throughput fairness Index: An explanation,” in: ATM Forum/99-0045, February 1999.

QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊