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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 林風 | |
dc.contributor.author | Guan-Ming Huang | en |
dc.contributor.author | 黃冠銘 | zh_TW |
dc.date.accessioned | 2021-05-17T09:14:34Z | - |
dc.date.available | 2017-08-27 | |
dc.date.available | 2021-05-17T09:14:34Z | - |
dc.date.copyright | 2012-08-27 | |
dc.date.issued | 2012 | |
dc.date.submitted | 2012-08-15 | |
dc.identifier.citation | [1] 3GPP, 3rd Generation Partnership Project; Technical Specification Group Core Network and Terminals; Location Management Procedures (Release 8), 3G TS 23.012, September 2009.
[2] 3GPP, 3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Service requirements for Machine-Type Communications (MTC); Stage 1 (Release 11), 3G TS 22.368, March 2011. [3] 3GPP, 3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; System Improvements for Machine-Type Communications;(Release 11), 3G TS 23.888, June 2011. [4] 3GPP, 3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved Universal Terrestrial Radio Access Network (E-UTRAN); Overall description; Stage 2 (Release 11), 3G TS 36.300, March 2012. [5] Thompson, J. M., Gross, D., Shortle, J. F., and Harris, C. M., Fundamentals of Queueing Theory, John Wiley & Sons, 2008. [6] Lin, Y.-B., Reducing Location Update Cost in a PCS Network, IEEE Transactions on Networking, vol. 5, no. 1, pp. 25-33, Feburary 1997. [7] Wang, F., Tu, L., Zhang, F., and Huang, Z., Group Location Update Scheme and Performance Analysis for Location Management in Mobile Network, Proceedings of IEEE Vehicular Technology Conference (VTC), pp. 2429-2433, May 2005. [8] Zhang, Y. and Fujise, M., Location Management Congestion Problem in Wireless Networks, IEEE Transactions on Vehicular Technology, vol. 56, no. 2, pp. 942-954, March 2007. [9] Han, I. and Cho, D.-H., Group Location Management for Mobile Subscribers on Transportation Systems in Mobile Communication Networks, IEEE Transactions on Vehicular Technology, vol. 53, no. 1, pp. 181-191, January 2004. [10] Razavi, S. M. and Yuan, D., Mitigating Mobility Signaling Congestion in LTE by Overlapping Tracking Area Lists, Proceedings of ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM), pp.285-292, October 2011. [11] Fu, H.-L., Lin, P., and Lin, Y.-B., Reducing Signaling Overhead for Femtocell/Macrocell Networks, To Appear in IEEE Transactions on Mobile Computing. [12] Zhang, X. and Shin, K. G., E-MiLi: Energy-Minimizing Idle Listening in Wireless Networks, Proceedings of ACM International Conference on Mobile Computing and Metworking (MobiCom), pp. 205-216, September 2011. [13] Shafiq, M. Z., Ji, L., Liu, A. X., Pang, J., and Wang, J., A First Look at Cellular Machine-to-Machine Traffic - Large Scale Measurement and Characterization, Proceedings of the International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), June 2012. [14] Mondada, F., Pettinaro, G.C., Kwee, I., Guignard, A., Gambardella, L., Floreano, D., Nolfi, S., Deneubourg, J.-L., Dorigo, M., SWARM-BOT: A Swarm of Autonomous Mobile Robots with Self-Assembling Capabilities, Proceedings of the International Workshop on Self-Organisation and Evolution of Social Behaviour, pp.11-22, September 2002. [15] Misra, S. and Agarwal, P., Bio-inspired Group Mobility Model for Mobile Ad Hoc Networks based on Bird-flocking Behavior, Soft Computing - A Fusion of Foundations, Methodologies and Applications, vol. 16, no. 3, pp. 437-450, 2012. [16] Lin, Y.-B. and Yang, S.-R., A Mobility Management Strategy for GPRS, IEEE Transactions on Wireless Communications, vol. 2, no. 6, pp. 1178-1188, November 2003. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/6546 | - |
dc.description.abstract | Machine-to-Machine (M2M) 通訊是一種支援Internet of Things (IoT) 應用程式的新通訊架構。為了使機器(Machine)能夠傳送與接收資料,網路端運行位置管理(Location Management)追蹤機器的位置。然而數以百萬計的機器使得位置管理對Mobile Communication Network (MCN) 產生了大量的信令流量。在這樣大規模的M2M行動網路中,本論文研究3GPP Machine Type Communications (MTC) 所定義的機器移動的群體性。首先,我們定義何謂信令傳輸中的``correlated mobility',當移動中的機器執行位置更新時。接著我們提出Group Location Management (GLM) 機制解決信令壅塞的問題。在GLM機制中,我們將移動路徑相似的機器們群聚在一起。最後,我們模擬成果顯示GLM機制可以降低機器的註冊信令並且增加佈署M2M通訊在大規模的M2M環境的可行性。 | zh_TW |
dc.description.abstract | Machine-to-Machine (M2M) communications have emerged as a new communication paradigm to support Internet of Things (IoT) applications. To deliver data to and from machines, the network performs Location Management to track machine locations (i.e., Location Area Identity; LAI). Yet this process incurs large signaling traffic to the Mobile Communication Networks (MCN), which is composed of millions to trillions of machines. To address such large-scale M2M mobile networking, this paper investigates the grouping characteristics of machine movement identified in the 3GPP Machine Type Communications (MTC). We first define the ``correlated mobility' on the signaling transmissions of moving machines when performing location update. Based on the definition, we propose a Group Location Management (GLM) mechanism to mitigate the signaling congestion problem. In GLM, we group machines based on the similarity of their mobility patterns. Through our performance study, we show how the GLM mechanism can reduce registration signaling from machines and increase the feasibility to deploy M2M communications at a large scale M2M environment. | en |
dc.description.provenance | Made available in DSpace on 2021-05-17T09:14:34Z (GMT). No. of bitstreams: 1 ntu-101-R99944039-1.pdf: 549952 bytes, checksum: 4f922464ba9fbc74247082e73c7aca00 (MD5) Previous issue date: 2012 | en |
dc.description.tableofcontents | Acknowledgement i
Chinese Abstract ii English Abstract iii 1 Introduction 1 2 Group-based Mechanism for Location Management 6 2.1 Correlated Mobility 6 2.2 GLM: Group Location Management 7 2.3 Discussion 13 3 Performance Evaluation 14 3.1 Performance Metrics 14 3.2 Mobility Models 15 3.3 Simulation Models 18 3.3.1 Random Walk Model 20 3.3.2 Bio-inspired Mobility Model 21 3.3.3 Transportation Mobility Model 24 3.4 Simulation Results 28 3.4.1 Effects of K 28 3.4.2 Effects of Periodic Location Update Timer TPLU 29 3.4.3 Effects of LA Residence Time E[tr] 30 3.4.4 Effects of Inter-Page Arrival Time 1/λp 30 4 Conclusion 33 Bibliography 35 | |
dc.language.iso | en | |
dc.title | 大規模M2M行動網路之群體位置管理 | zh_TW |
dc.title | Group Location Management for Large-scale Machine-to-Machine Mobile Networking | en |
dc.type | Thesis | |
dc.date.schoolyear | 100-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 林一平,楊竹星 | |
dc.subject.keyword | 相關移動性,位置管理,M2M通訊,MTC通訊,信令壅塞, | zh_TW |
dc.subject.keyword | Correlated mobility,Location management,Machine-to-Machine communications,Machine-type communications,Signaling congestion, | en |
dc.relation.page | 37 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2012-08-15 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 資訊網路與多媒體研究所 | zh_TW |
顯示於系所單位: | 資訊網路與多媒體研究所 |
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