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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 資訊工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/31194
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor周承復(Cheng-Fu Chou)
dc.contributor.authorChih-Wei Sungen
dc.contributor.author宋志偉zh_TW
dc.date.accessioned2021-06-13T02:35:04Z-
dc.date.available2007-02-27
dc.date.copyright2007-02-27
dc.date.issued2007
dc.date.submitted2007-01-22
dc.identifier.citation[1] V. Jacobson, “Pathchar: A tool to infer characteristics of internet paths,” ftp://ftp.ee.lbl.gov/pathchar/.
[2] K. Lai and M. Baker, “Measuring bandwidth,” in IEEE Infocom, 1999, pp. 235-245.
[3] C. Dovrolis, P. Ramanathan, and D. Moore, “What do packet dispersion techniques measure?” in IEEE Infocom, 2001.
[4] “pchar: A tool for measuring internet path characteristics,” http://www.kitchenlab.org/www/bmah/Software/pchar/.
[5] “Clink: a tool for estimating internet link characteristics,” http://allendowney.com/research/clink/.
[6] R. Kapoor, L.-J. Chen, L. Lao, M. Gerla, and M. Y. Sanadidi, “Capprobe: A simple and accurate capacity estimation technique,” in ACM SIGCOMM, 2004.
[7] S. Saroiu, P. K. Gummadi, and S. D. Gribble, “Sprobe: A fast technique for measuring bottleneck bandwidth in uncooperative environments,' in IEEE Infocom, 2002.
[8] K. Lakshminarayanan, V. N. Padmanabhan, and J. Padhye, “Bandwidth estimation in broadband access networks,' in IMC, 2004.
[9] R. Kapoor, L.-J. Chen, M. Y. Sanadidi, and M. Gerla, “Accuracy of link capacity estimates using passive and active approaches with capprobe,' in IEEE ISCC, 2004.
[10] S.-J. Lee, P. Sharma, S. Banerjee, S. Basu, and R. Fonseca, “Measuring bandwidth between planetlab nodes,' in PAM, 2005.
[11] L.-J. Chen, T. Sun, G. Yang, M. Y. Sanadidi, and M. Gerla, “Adhoc probe: Path capacity probing in ad hoc networks,' in WICON, 2005.
[12] T. Sun, L.-J. Chen, G. Yang, M. Y. Sanadidi, and M. Gerla, “Senprobe: Path capacity estimation in wireless sensor networks,' in SenMetrics, 2005.
[13] “Ieee 802.11, the working group setting the standards for wireless lans,' http://grouper.ieee.org/groups/802/11/.
[14] K. Lai and M. Baker, “Measuring link bandwidths using a deterministic model of packet delay,' in ACM SIGCOMM, 2000.
[15] S. Savage, “Sting: a tcp-based network measurement tool,' in USENIX Symposium on Internet Technologies and Systems, 1999.
[16] Y. Lin, H. Wu, S. Cheng, W. Wang, and C. Wang, “Measuring asymmetric link bandwidths in internet using a multi-packet delay model,' in IEEE ICC, 2003.
[17] L.-J. Chen, T. Sun, G. Yang, M. Y. Sanadidi, and M. Gerla, “End-to-end asymmetric link capacity estimation,' in IFIP Networking, 2005.
[18] “Iperf: The tcp/udp bandwidth measurement tool,' http://dast.nlanr.net/Projects/Iperf/.
[19] “Bluetooth v1.2,' http://www.bluetooth.com.
[20] “Bluez,' http://bluez.sourceforge.net.
[21] ”Bnep ver. 1.0,' http://www.bluetooth.com.
[22] “Ns-2,' http://www.mash.cs.berkeley.edu/ns/.
[23] “Ucbt,' http://www.ececs.uc.edu/~cdmc/ucbt/ucbt.html.
[24] ITU-T Radio Regulations S5 – Frequency Allocations, 2001.
[25] Sewook Jung, Alexander Chang, and Mario Gerla, “Comparison of Bluetooth Interconnection Methods using BlueProbe,” The Second International Workshop on Wireless Network Measurement (WiNMee), 2006.
[26] E. M. Belding-Royer and C. E. Perkins. “Evolution and future directions of the ad hoc on-demand distance vector routing protocol,” Ad Hoc Networks Journal, 1:25-150, July 2003.
[27] K. Xu, X. Hong, and M. Gerla. “An ad hoc network with mobile backbones,” In IEEE ICC, 2002.
[28] T. Sun, G. Yang, L.-J. Chen, M. Y. Sanadidi, M. Gerla. “A measurement study of path capacity in 802.11b based wireless networks,” The Wireless Traffic Measurements and Modeling Workshop (WiTMeMo'05, in conjunction with MobiSys'05), 2005.
[29] R. Kettimuthu and S. Muthukrishnan. “Is Bluetooth suitable for large-scale sensor networks?,” The International Conference on Wireless Networks (ICWN 2005), June 2005
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/31194-
dc.description.abstract了解端對端路徑頻寬對於網路管理及應用程式管理來說,是很重要的。 雖然在有線與無線網路上路徑頻寬評估已被廣泛地研究,但在時槽式無線網路上一個路徑頻寬的有效評估依舊是缺乏的。 隨著時槽式無線網路技術(如:藍芽、ZigBee、WiMAX)日益受歡迎,但由於它們在資料連結層上的特別特性而使得對所有的無線應用上的無線頻道之有效使用率仍保持著挑戰性。 在這篇論文中,我們建議一種新的頻寬評估技術(TSProbe)去評估在時槽式無線系統中的端對端路徑頻寬。 TSProbe是由AdHoc Probe所衍生的,它基於時槽式連結中之間不同的連結層特性之固有關係而採用一種可適應且可重複的探測方法。 對應著分析,我們發現有效的連結頻寬是被取決於已使用的封包大小。再來,我們為TSProbe呈現一個理論依據且建議出一個方法,並在多種的模擬場景中評估它的效能。 最後,我們更進一步對於評估一個路徑頻寬而在測試環境及網際網路的實驗場景中來評估它的穩定性,結果呈現出TSProbe在所有的例子中是同樣地精確、有效且穩定的。zh_TW
dc.description.abstractKnowing the end-to-end path capacity is important for network and applications management. Although path capacity estimation in wired and wireless networks have been extensively investigated, but an effective estimate of path capacity in time-slotted wireless networks is still lacking. With the increasing popularity of time-slotted wireless technologies (e.g. Bluetooth, ZigBee, WiMAX), the effective utilization of the wireless channel remain challenging for all wireless applications due to special property of them in the data link layer. In this thesis, we propose a new capacity estimation technique, TSProbe, to estimate end-to-end path capacity in time-slotted wireless systems. TSProbe is inspired by AdHoc Probe, and it deploys an adaptive and iterative probing scheme based on the intrinsic relationships between various link layer properties for time-slotted connections. With analysis, we found the effective link capacity is dependent on the employed packet size. Moreover, we exhibit a theoretical basis and propose an efficient approach for TSProbe, and evaluated its performance in a variety of simulation scenarios. Finally, we further evaluated its reliability in testbed and Internet experiment scenarios for estimating a path capacity. The results present that TSProbe is consistently accurate, effective and reliable in all cases.en
dc.description.provenanceMade available in DSpace on 2021-06-13T02:35:04Z (GMT). No. of bitstreams: 1
ntu-96-J93922003-1.pdf: 554953 bytes, checksum: 17eb45bdae1fee34c5f0794a7c773a10 (MD5)
Previous issue date: 2007
en
dc.description.tableofcontents口試委員會審定書 …………………………………………… i
致謝 ……………………………………………………………… i
中文摘要 ……………………………………………………… ii
Abstract ……………………………………………………… iii
Table of Contents …………………………………………… iv
List of Figures ……………………………………………… vi
List of Tables ……………………………………………… vii
Chapter 1 Introduction ……………………………………… 1
Chapter 2 Background and Related Work ………………… 5
2.1 Link Capacity Estimation ……………………………… 5
2.2 AdHoc Probe ……………………………………………… 7
2.3 Bluetooth ………………………………………………… 10
Chapter 3 Time-Slotted Path Capacity Estimation …… 15
3.1 Comparison of Popular Capacity Estimation ……… 15
3.2 Analysis …………………………………………………… 19
3.3 Proposed Approach: TSProbe …………………………… 24
3.4 Algorithm ………………………………………………… 27
Chapter 4 Simulation ………………………………………… 30
4.1 Link Capacity Estimation on One-hop Topology …… 33
4.2 Path Capacity Estimation on Multi-hop Topologies 36
4.3 Effect of Cross Traffic on the Scatternet ……… 39
Chapter 5 Experiments ……………………………………… 41
5.1 Testbed Experiment ……………………………………… 43
5.2 Internet Experiments …………………………………… 46
Chapter 6 Conclusions ……………………………………… 48
Chapter 7 Future Work ……………………………………… 49
References ……………………………………………………… 50
dc.language.isoen
dc.subject時槽式無線網路zh_TW
dc.subject頻寬評估zh_TW
dc.subjecttime-slotted wireless networksen
dc.subjectcapacity estimationen
dc.title時槽式無線網路下之路徑頻寬評估zh_TW
dc.titlePath Capacity Estimation in Time-slotted Wireless Networksen
dc.typeThesis
dc.date.schoolyear95-1
dc.description.degree碩士
dc.contributor.coadvisor陳伶志(Ling-Jyh Chen)
dc.contributor.oralexamcommittee蔡子傑(Tzu-Chieh Tsai),廖婉君(Wan-Jiun Liao),吳曉光(Hsiao-Kuang Wu)
dc.subject.keyword時槽式無線網路,頻寬評估,zh_TW
dc.subject.keywordcapacity estimation,time-slotted wireless networks,en
dc.relation.page52
dc.rights.note有償授權
dc.date.accepted2007-01-22
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept資訊工程學研究所zh_TW
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