請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/67720
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 蔡志宏(Zse-Hong Tsai) | |
dc.contributor.author | Cheng-Feng Lin | en |
dc.contributor.author | 林正峰 | zh_TW |
dc.date.accessioned | 2021-06-17T01:45:59Z | - |
dc.date.available | 2017-08-14 | |
dc.date.copyright | 2017-08-14 | |
dc.date.issued | 2017 | |
dc.date.submitted | 2017-07-26 | |
dc.identifier.citation | [1] 打造智慧工廠從設備聯網下手, http://www.advantech.tw/factoryautomation/case%20studies/8b7f9806-d8f8-4656-8ebc-474a971c5719/
[2] 台達PLC控制器, http://www.deltaww.com/Products/CategoryListT1.aspx?CID=060301&PID=ALL&hl=zh-TW [3] 煜昕荷重元(load cell), http://www.esense.com.tw/ [4] H.-J Liu,S.-F Li,Z.-X Wang,W.-J Hong,M.Yi,Z.Liu,”Strategy of Dynamic Spectrum Access Based-on Spectrum Pool ,”Proceedings of 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing [5] I.Awan,M.Younas,W.Naveed,”Modelling QoS in IoT Applications,”Proceedings of 2014 17th International Conference on Network-Based Information Systems [6] L.Zheng and D.B.Hoang,”Applying Graph Coloring in Resource Coordination for a High-density Wireless Environment,” Proceedings of 2008 8th IEEE International Conference on Computer and Information Technology [7] L.Yuqing,Z.Qi,C.Lili,”An Improved Channal Allocation Algorithm Based on List-coloring,” Proceedings of 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM) [8] Z.Zhong,P.Kulkarni,F.Cao,Z.Fan and S.Armour,”Issues and Challenges in Dense WiFi Networks,” Proceedings of 2015 International Wireless Communications and Mobile Computing Conference (IWCMC) [9] M.Andrews,K.Kumaran,K.Ramanan,A.Stolyar,and P.Whiting ,”Providing Quality of Service over a Shared Wireless Link,”2001 IEEE Communications Magazine [10] M.Marchese and M.Mongelli,”Vertical QoS Mapping Over Wireless Interfaces,”2009 IEEE Wireless Communications [11] F.J.M.Panken,G.J.Hoekstra,”Multi-service traffic profiles to realise and maintain QoS guarantees in wireless LANs,” Computer Communications Volume 32, Issue 6, 27 April 2009, Pages 1022–1033 [12] T.Wang, G.Xing, M.Li and W.Jia,”Efficient WiFi Deployment Algorithms based on Realistic Mobility Characteristics,” Proceedings of 2010 IEEE 7th International Conference on Mobile Adhoc and Sensor Systems (MASS) [13] E.Bulut,B.K.Szymanski,”Rethinking Offloading WiFi Access Point Deployment from User Perspective,”Proceedings of 2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) [14] IEEE Std. 802.11n-2009,”IEEE Standard for Information Technology - Telecommunications and Information Exchange Between Systems - Local and Metropolitan Area Networks - Specific Requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications Amendment 5: Enhancements for Higher Throughput ” [15] QUALCOMM,” IEEE802.11ac: The Next Evolution of Wi-Fi Standards,”2012 [16] IEEE Std 802.1-2012, Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications [17] P.Nain,D.Towsley,B.Liu,Z.Liu,”Properties of Random Direction Models,”Proceedings of IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies. [18] International Telecommunication Union,http://www.itu.int/en/Pages/default.aspx [19] NCC, http://www.ncc.gov.tw/chinese/index.aspx [20] 中華民國頻率供應計畫, http://www.motc.gov.tw/post/home.jsp?id=268&parentpath=0&mcustomize=multimessages_view.jsp&dataserno=201505040001&aplistdn=ou=data,ou=bulletin,ou=chinese,ou=ap_root,o=motc,c=tw&toolsflag=Y&imgfolder=img [21] 802.11ac Channel Planning, http://www.revolutionwifi.net/revolutionwifi/2013/03/80211ac-channelplanning.html [22] K.Gonia,”Latency and QoS for Voice over IP”,Version 2.4b, Option 1 [23] Wireshark, https://www.wireshark.org/download.html [24] DLink DCS-2630L, http://www.dlinktw.com.tw/home/product?id=917 [25] H.T.Friis,”A Note on a Simple Transmission Formula,” Proceedings of the IRE [26] ”IEEE Standard Definitions of Terms for Antennas”IEEE Std 145-1983 [27] Iperf, https://iperf.fr/ | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/67720 | - |
dc.description.abstract | 隨著工業4.0 的興起,工廠透過感測器、數據蒐集及分析等邁向自動化發展,因此如何在工廠內佈建有限數量AP,並最佳化工廠內的聯網裝置能夠滿足其應用的服務品質要求的數量,變成為一個重要的議題,由於每個裝置的服務品質要求皆不相同,所以本研究將感測裝置依據服務品質要求區分為兩種,一種為高流量感測裝置,具有較高的傳輸流量要求,另一種為延遲敏感感測裝置,具有較高的延遲時間要求。再根據裝置移動性本論文將固定位置的高流量感測裝置稱為主要裝置1,固定位置的延遲敏感裝置稱為主要裝置2,會變動位置的高流量裝置為次要裝置,分別分析不同配置下其服務品質及網路涵蓋。
為了提高滿足服務品質的裝置數量,我們針對一個AP 服務兩種不同服務品質要求的感測裝置時,使用NS-3 進行模擬,並觀察其滿足服務品質的裝置數量間的變化。模擬後發現將一個AP 僅服務一種服務品質要求的同類裝置,能夠獲得較多滿足服務品質要求的裝置數量。本論文也發現將AP 的干擾範圍區分為有效傳輸干擾範圍以及無效傳輸干擾範圍能更細分干擾情況,並可用NS-3 模擬兩種干擾對AP 造成的影響,透過這些實驗設計我們的AP 佈建演算法,並在通道分配中使用最大階級優先之圖形著色演算法以及基於著色之改善優先級演算法進行通道分配,考量同頻及鄰頻干擾產生的影響,優先選擇不會遭遇同頻及鄰頻干擾之通道,減少AP 之間的干擾,即可顯著提升頻譜的使用效率。 本研究最後模擬了不同情境的工廠環境,並比較不同演算法的佈建結果,其中我們的AP 佈建演算法能使AP 涵蓋較多的主要裝置,也能使較多的主要裝置滿足服務品質,並且使得次要裝置能夠與AP 的傳輸時間比率保持在水準之上,並且擁有較佳的適應能力。 | zh_TW |
dc.description.abstract | With the rise of the industry 4.0, the factory is moving towards automation through the use of sensors, data collection and analysis. How to deploy just a limited number of access points and still optimize the number of devices meeting QoS devices in the factory has become an important technique. Due to the fact that each device has different QoS requirement, this research will divide devices into two groups based on the difference of their QoS requirements. One group is for high throughput devices which have a higher traffic demand, another is for delay sensitive devices which have a more strict latency requirement. According to device mobility, we name the high throughput device with fixed position as primary device 1, the delay sensitive device with fixed position as primary device 2, and call mobile high throughput device the secondary device. And we then analyze the QoS and coverage ratio of these types of devices.
In order to increase the number of devices meeting QoS requirements. We use NS-3 to simulate how an access point serves devices with two different kinds of QoS requirements, and we observed the change between number of devices meeting QoS requirement.We found if an access point only serves one kind of devices with the same QoS requirement, it can support more devices meeting QoS requirement. We also divide the interference range into effective transmission interference range and invalid transmission interference range. Using NS-3 we are able to simulate the influence caused by two kinds of interference. Through these experiments, we then design our AP deployment algorithm. We use the graph coloring algorithm with maximum degree first and the Improved Priority Based Coloring Algorithm to implement channel allocation. In order to decrease the interference between access points, we consider the influence caused by either co-channel or adjacent-channel interferences. And then we select those channels which will not experience co-channel or adjacent-channel interferences in the priority list. As a result, we can enhance spectrum usage significantly. Finally, we simulate different factory situations and compare the result of AP deployments with different algorithms. Among them, our AP deployment algorithm can cover more primary devices and assure that more primary devices can meet their QoS requirements. Our AP deployment algorithm also can make the ratio of network coverage between APs and secondary devices at the required level and has better adaptability. | en |
dc.description.provenance | Made available in DSpace on 2021-06-17T01:45:59Z (GMT). No. of bitstreams: 1 ntu-106-R04942109-1.pdf: 4655860 bytes, checksum: d40861be95ec076737afb006fd31c8cd (MD5) Previous issue date: 2017 | en |
dc.description.tableofcontents | 口試委員會審定書.........................................#
誌謝....................................................i 中文摘要................................................ii Abstract..............................................iii 圖目錄................................................vii 表目錄.................................................xi 第一章 緒論..............................................1 1.1 背景介紹與研究動機...................................1 1.2 相關研究.............................................3 1.3 問題描述.............................................8 1.4 論文章節架構.........................................9 第二章 網路環境架構及系統效能............................10 2.1 WiFI 運作機制.......................................10 2.2 工廠環境架構........................................13 2.3 裝置架構及移動機制..................................14 2.4 AP 基本規範.........................................16 2.5 系統效能定義........................................21 第三章 最大化滿足服務品質裝置數量機制.....................23 3.1 感測裝置及AP之量測和模擬實驗.........................23 3.1.1 感測裝置應用特性量測...............................23 3.1.2 功率量測..........................................27 3.1.3 多種裝置在單一AP 下使用之模擬......................32 3.2 AP 設置階段.........................................36 3.2.1 選擇布建位置......................................36 3.2.2 選擇受干擾之AP....................................37 3.2.3 AP 通道分配.......................................38 3.2.4 AP 設置階段範例...................................58 第四章模擬結果及效能分析.................................63 4.1 相同通道AP 之有效及無效傳輸干擾模擬...................63 4.1.1 模擬參數設計......................................63 4.1.2 模擬結果..........................................66 4.2 最大化裝置數量之模擬.................................69 4.2.1 模擬參數設計......................................69 4.2.2 模擬結果..........................................75 第五章 結論及未來研究方向................................86 5.1 結論...............................................86 5.2 未來研究方向........................................87 參考文獻................................................89 | |
dc.language.iso | zh-TW | |
dc.title | 工業級無線區域網路環境中連網裝置數量最佳化研究 | zh_TW |
dc.title | Optimizing the Number of Connected Devices
in the Industrial WiFi Environment | en |
dc.type | Thesis | |
dc.date.schoolyear | 105-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 馮輝文,鍾耀梁 | |
dc.subject.keyword | 自動化工廠,服務品質,感測裝置,AP佈建, | zh_TW |
dc.subject.keyword | Automated factory,QoS,Sensing device,AP deployment, | en |
dc.relation.page | 91 | |
dc.identifier.doi | 10.6342/NTU201702079 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2017-07-27 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
顯示於系所單位: | 電信工程學研究所 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-106-1.pdf 目前未授權公開取用 | 4.55 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。