臺灣博碩士論文加值系統

工業4.0帶動軟體控制需求，因此需要可靠通訊傳輸，若採取有線連網，機台部署的方式不具有彈性，物料可能也具危險性，有線網路規劃不易。若採用Wi-Fi取代有線網路，可以減少人員操作危險性，增加彈性部署與管理效益，但需要克服無線穩定傳輸以及傳輸距離不足的問題。本文提出Wi-Fi無線可靠傳輸，針對不同訊號強度，調整傳輸間隔，實作在Wi-Fi設備上。在單跳情況使用動態調整機制，在訊號好時利用UDP傳輸提供高throughput且穩定傳輸，訊號普通時利用TCP維持可靠傳輸，使用UDP傳輸throughput最多提升75%。在多跳傳輸時利用估算機制，根據跳點傳輸與訊號關係計算出設備的效能的上限，提供整體網路的可靠度依據，傳輸前進行估算以及暫停機制，將多跳傳輸的封包到達率由70%提升近100%，處理封包遺失的問題。也利用多跳機制增加傳輸距離。在長距離傳輸時，兩設備之間採取TCP傳輸，加入跳點，改由三個設備採取多跳UDP傳輸，最高能提升85%的throughput。讓Wi-Fi可應用在工業無線通訊中上，並且達到可靠與穩定的傳輸。

The Industry 4.0 concept raises control demands of industrial software applications so reliable transmissions are desirable. Compared with wired networks, wireless networks provide flexibility of machine arrangements, additional safety distances of hazard operations. While applying Wi-Fi into industrial wireless networks, the problems of unstable wireless transmissions and insufficient transmission distance should be well addressed. This paper proposes a reliable Wi-Fi transmission model to adjust transmission intervals according to Received Signal Strength Indicator (RSSI). For single-hop reliable transmissions, UDP can be used while the received signal is strong to transmit high throughput, which can increase 75%, and TCP can be used in case of the low received signal strength. For multiple-hop transmissions, the model deter-mines the best reliable transmission rate according to the signal strength in each hop of the transmission path. With the estimation of multi-hop transmission rate, the packet arrival rate increases from 70% to 100%. For long distance transmissions, the model adds additional hops to increase reliable transmission throughput, which can increase up to 85%. Therefore, the proposed model can ensure reliable long distance Wi-Fi transmissions with additional throughput for industrial wireless transmissions.

目錄
ABSTRACT I
目錄 II
圖目錄 IV
表目錄 V
第 1 章 緒論 1
1.1 研究背景 1
1.2 研究動機 2
1.3 研究目的 3
1.4 論文架構 3
第 2 章 相關知識與文獻 4
2.1 工業與無線傳輸 5
2.2 相關研究 5
第 3 章 無線網路運作機制 8
3.1 設計模型 9
3.2 單跳傳輸初始 10
3.3 動態傳輸機制 14
3.4 多跳傳輸機制 18
第 4 章 實驗結果與數據分析 27
4.1 實驗環境 27
4.2 傳輸預設值 28
4.3 傳輸與訊號關係、訊號分割線 29
4.4 混和傳輸機制 34
4.5 傳輸模式與多跳關係 36
4.6 多跳傳輸估算 38
4.7 多跳傳輸初值估算機制比較 40
4.8 混合傳輸模式與多跳 41
4.9 實驗總結 41
第 5 章 結論 42
文獻 43

[1] K. Zhou , T. Liu, and L. Zhou, "Industry 4.0: Towards future industrial opportunities and challenges.", Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on. IEEE, pp.2147-2152, 2015.
[2] C. Bin, et al., "Research and practice on Aluminum Industry 4.0.", Intelligent Control and Information Processing (ICICIP), 2015 Sixth International Conference on. IEEE, pp.517-521, Nov. 2015.
[3] A. Varghese, and D. Tandur, "Wireless requirements and challenges in Industry 4.0.", Contemporary Computing and Informatics (IC3I), 2014 International Conference on. IEEE, pp. 634-638, Nov. 2014.
[4] S. Petersen, S. Carlsen, and A. Skavhaug, "Layered Software Challenge of Wireless Technology in the Oil & Gas Industry.", Software Engineering, 2008. ASWEC 2008. 19th Australian Conference on. IEEE, pp.37-46, Mar. 2008.
[5] F. Wu, J. Xing, and B. Dong, "An Indoor Localization Method Based on RSSI of Adjustable Power WiFi Router.", 2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC). IEEE, pp.1481-1484, Sept.2015.
[6] N. Hernández, et al., "Wi-Fi localization system based on fuzzy logic to deal with signal variations." , 2009 IEEE Conference on Emerging Technologies & Factory Automation, pp.1-6, Sept. 2009.
[7] L.Gough, et al., "Differences in RSSI readings made by different Wi-Fi chipsets: A limitation of WLAN localization.", 2011 International Conference on Localization and GNSS (ICL-GNSS), pp53-57, Jun. 2011.
[8] J.Joe-Air, et al., "A RSSI-based environmental-adaptive dynamic radiation power management for wireless sensor networks.", Circuits and Systems, 2008. APCCAS 2008. IEEE Asia Pacific Conference on. IEEE, pp.1046-1049, Dec. 2008.
[9] DP.Luciani, et al., "RSSI based range analysis of near-ground nodes in Wi-Fi crowded environments.", Technologies for Homeland Security (HST), 2013 IEEE International Conference on. IEEE, pp.693-697, Nov. 2013.
[10] K.Mikhaylov, et al., "Multihop data transfer service for Bluetooth Low Energy.", ITS Telecommunications (ITST), 2013 13th International Conference on. IEEE, pp.319-324, Nov. 2013.
[11] A.Mahani , et al., "Non-uniform distribution of multi-hop sensor networks: performance improvement and energy hole mitigation.", IET Wireless Sensor Systems 2.4 (2012): vol.2, pp.302-308, Dec. 2012
[12] R.Fedrizzi, et al., "Energy aware routing in heterogeneous multi-hop public safety wireless networks.", 2014 IEEE International Conference on Communications Workshops (ICC). IEEE, pp.218-224, Jun. 2014.
[13] J.Nikodem, et al., "Multi-hop and directed routing based on neighborhood cooperation in WSN.", 2011 15th IEEE International Conference on Intelligent Engineering Systems. IEEE, pp.221-227, Jun. 2011.
[14] D.Sakamoto, and H.Higaki, "Wireless multihop transmission with buffering in neighbor sensor nodes for shorter delay.", Wireless Communications and Networking Conference, 2009. WCNC 2009. IEEE, pp.1-6, Apr. 2009.
[15] A.Mohammad, Z.Sun, and H.Cruickshank, "A reliable multi-hop hierarchical routing protocol in wireless sensor network (wsn).", Information Technology: New Generations, 2009. ITNG'09. Sixth International Conference on. IEEE, pp.1604-1605, Apr. 2009.
[16] K.Liu, "Design and Research on Wireless Industry Networks for Process Control System.", Internet Technology and Applications (iTAP), 2011 International Conference on. IEEE, pp.1-4, Aug. 2011.
[17] Z.Zaidi, "On the reliability of Wi-Fi multihop backhaul connections for rural areas.", Wireless Communications and Networking Conference (WCNC), 2013 IEEE, pp.2387-2392, Apr. 2013.