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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 林風(Phone Lin) | |
| dc.contributor.author | Hou-Chun Chen | en |
| dc.contributor.author | 陳厚鈞 | zh_TW |
| dc.date.accessioned | 2021-06-08T06:29:22Z | - |
| dc.date.copyright | 2011-08-05 | |
| dc.date.issued | 2011 | |
| dc.date.submitted | 2011-08-02 | |
| dc.identifier.citation | [1] ZigBee. http://www.zigbee.org.
[2] 3GPP. 3rd Generation partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved Uiversal Terrestrial Radio Access Network (E-UTRAN); Overall description; Stage 2 (Release 10). Technical Report 3G TS 36.300, 3GPP, September 2010. [3] 3GPP. 3rd Generation partnership Project; Technical Specification Group Radio Access Network; UTRAN overall description (Release 10). Technical Report 3G TS 25.401, 3GPP, March 2011. [4] 3GPP. 3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Service requirements for Machine-Type Communications (MTC); Stage 1 (Release 11). Technical Report 3G TS 22.368, 3GPP, March 2011. [5] 3GPP. 3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; System Improvements for Machine-Type Communications; (Release 11). Technical Report 3G TS 23.888, 3GPP, June 2011. [6] Akyildiz, I.F. Pompili, D., Melodia, T. Underwater Acoustic Sensor Networks: Research Challenges. Ad Hoc Networks (Elsevier) Journal, 3(3):257–279, March 2005. [7] Chen, M., Gonzalez, S., Vasilakos, A., Cao, H., and Leung, V.C.M. Body Area Networks: A Survey. ACM/Springer Mobile Networks and Applications, 16(2):171–193, August 2010. [8] Cormen, T.H., Leiserson, C.E., Rivest, R.L., and Stein C. Introduction to Algorithms. MIT Press and McGrawHill, second edition, 2001. [9] Fu, H.-L., Wang, T.-Y., Lin, P., and Fang, Y. A Region-based Reporting Scheme for Mobile Sensor Networks. In Proceedings of IEEE VTC2010-Spring Conference, pages 1–5, May 2010. [10] Hanson, M.A., Powell, H.C., Barth, A.T., Ringgenberg, K., Calhoun, B.H., Aylor, J.H., and Lach, J. Body Area Sensor Networks: Challenges and Opportunities. Computer, 42(1):58–65, January 2009. [11] Hartenstein, H. and Laberteaux, K.P. A Tutorial Survey on Vehicular Ad Hoc Networks. IEEE Communications Magazine, 46(6):164–171, June 2008. [12] IEEE. Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications: High-speed Physical Layer in the 5 GHz Band. IEEE Std 802.11a, Dec 1999. [13] IEEE. IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed and Mobile Broadband Wireless Access Systems. Technical Report IEEE Std 802.16e, IEEE, February 2006. [14] Lin, C.-K., Zadorozhny, V.I., Krishnamurthy, P.V., Park, H.-H., and Lee, C.-G. A Distributed and Scalable Time Slot Allocation Protocol for Wireless Sensor Networks. IEEE Transactions on Mobile Computing, 10(5):505–518, April 2011. [15] Lin, Y.-B., and Yang, S.-R. A Mobility Management Strategy for GPRS. IEEE Transactions on Wireless Communications, 2(6):1178–1188, November 2003. [16] Lu, R., Li, X., Liang, X., Shen, X., and Lin, X. GRS: The Green, Reliability, and Security of Emerging Machine to Machine Communications. IEEE Communications Magazine, 49(4):28–35, April 2011. [17] Park, M.K. and Rodoplu, V. UWAN-MAC: An Energy-Efficient MAC Protocol for Underwater Acoustic Wireless Sensor Networks. IEEE Journal of Oceanic Engineering, 32(3):710–720, July 2007. [18] Rhee, I., Warrier, A., Min, J., and Xu, L. DRAND: Distributed Randomized TDMA Scheduling for Wireless Ad Hoc Networks. IEEE Transactions on Mobile Computing, 8(10):1384–1396, October 2009. [19] Shi, L. and Fapojuwo, A.O. TDMA Scheduling with Optimized Energy Efficiency and Minimum Delay in Clustered Wireless Sensor Networks. IEEE Transactions on Mobile Computing, 9(7):927–940, July 2010. [20] Srivastava, R. and Koksal, C.E. Energy Optimal Transmission Scheduleing in Wireless Sensor Networks. IEEE Transactions on Wireless Communications, 9(5):1650–1660, May 2010. [21] Wang, H., Agoulmine, N., and Jin, Y. Network Lifetime Optimization in Wireless Sensor Networks. IEEE Journal on Selected Areas in Communications, 28(7):1127–1137, September 2010. [22] Wang, J., Li, D., Xing, G., and Du, H. Cross-Layer Sleep Scheduling Design in Service-Oriented Wireless Sensor Networks. IEEE Transactions on Mobile Computing, 9(11):1622–1622, November 2010. [23] Yang, S.-R., and Lin, Y.-B. Performance Evaluation of Location Management in UMTS. IEEE Transactions on Vehicular Technology, 52(6):1603–1615, November 2003. [24] Yun, Y. and Xia, Y. Maximizing the Lifetime of Wireless Sensor Networks with Mobile Sink in Delay-Tolerant Applications. IEEE Transactions on Mobile Computing, 9(9):1308–1318, September 2010. [25] Zhong, H. and Xu, C.-H. Energy-Efficient Wireless Packet Scheduling with Quality of Service Control. IEEE Transactions on Mobile Computing, 6(10):1158–1170, August 2007. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/25774 | - |
| dc.description.abstract | M2M(machine-to-machine，簡稱M2M)通訊提供了一個無所不在的感測環境，可在特定區域內針對即時監控之應用提供低建置成本的方案。在即時監控這個M2M的主要應用中M2M閘道(M2M Gateway)可透過M2M節點(M2M Nodes)所回傳的感測資料來達到對於感測區域(sensing regions)的有效監控。在即時監控之應用中，M2M節點傳送感測資料給M2M閘道的電量消耗是一個影響系統效能的主因。在本篇論文中，我們設計了集中式與分散式的回報機制同時考慮的電量的消耗以及感測資料的有效性，同時分析了機制的複雜度。我們透過電腦模擬實驗來探討所提機制之效能並發現M2M節點具有移動性時分散式機制的效能會優於集中式機制。 | zh_TW |
| dc.description.abstract | In Machine-to-Machine (M2M) communications, machines are wirelessly connected to accomplish collaborative tasks without human intervention, and provide ubiquitous solutions for real-time monitoring. The real-time monitoring application is one of the killer applications for M2M communications, where M2M nodes transmit sensed data to an M2M gateway, and then the M2M gateway can have real-time monitoring for each sensing region. In real-time monitoring application, the energy consumption for the M2M nodes to send sensed data to the M2M gateway is an important factor that significantly affects the performance of the system. In this paper, we first consider the energy consumption as well as the validity of sensed data to design either centralized or distributed energy-efficient reporting mechanisms. We then analyze the complexity of the reporting mechanisms. Simulation experiments are conducted to investigate the performance of the proposed mechanisms, and show that the distributed mechanism outperforms the centralized mechanism when the M2M nodes are mobile. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-08T06:29:22Z (GMT). No. of bitstreams: 1 ntu-100-R98922082-1.pdf: 838858 bytes, checksum: 79b6097c5dac0b02bf567e5864ff031a (MD5) Previous issue date: 2011 | en |
| dc.description.tableofcontents | 口試委員審定書..............................................i
Acknowledgement...........................................iii Chinese Abstract............................................v English Abstract..........................................vii 1 Introduction..............................................1 2 Energy-Efficient Reporting Mechanism......................7 2.1 Validity of Sensed Data...............................7 2.2 Centralized Reporting Mechanism.......................9 2.2.1 M2M Gateway Part................................9 2.2.2 M2M Node Part..................................10 2.3 Distributed Reporting Mechanism......................11 2.3.1 M2M Gateway Part...............................12 2.3.2 M2M Node Part..................................13 3 Energy Minimization for Centralized Scheduling...........17 3.1 Assumptions and Notations............................18 3.2 ILP Formulation......................................19 3.3 Problem Complexity...................................20 3.4 Greedy Scheduling Algorithm..........................21 4 Performance Evaluation...................................23 4.1 Performance on ILP and Greedy Approach...............23 4.2 Simulation Experiments...............................24 4.2.1 Effects of M2M Node Arrival Rate lambda.......26 4.2.2 Effects of SR Residnece Time 1/eta............29 5 Conclusions..............................................31 Bibliography...............................................33 Curriculum Vita............................................37 Publications...............................................39 | |
| dc.language.iso | en | |
| dc.title | M2M通訊中移動性對回報機制影響之研究 | zh_TW |
| dc.title | Study of Mobility Effects on Reporting Mechanisms in Machine-to-Machine Communications | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 99-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 方玉光(Yuguang Fang),林一平(Yi-Bing Lin),陳光禎(Kwang-Cheng Chen),蔡欣穆(Hsin-Mu Tsai) | |
| dc.subject.keyword | 能源節省,M2M通訊,回報機制,感測資料有效性, | zh_TW |
| dc.subject.keyword | Energy efficiency,Machine-to-machine communications,Reporting mechanism,Sensed data validity, | en |
| dc.relation.page | 39 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2011-08-02 | |
| 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 |
| 顯示於系所單位： | 資訊工程學系 | |
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