| 研究生: |
王詩閔 Wang, Shih-Min |
|---|---|
| 論文名稱: |
在M2M核心網路中資訊延遲傳輸之效能分析 Performance Analysis for Delayed Update Data in M2M Core Network |
| 指導教授: |
蘇淑茵
Sou, Sok-Ian |
| 學位類別: |
碩士 Master |
| 系所名稱: |
電機資訊學院 - 電腦與通信工程研究所 Institute of Computer & Communication Engineering |
| 論文出版年: | 2012 |
| 畢業學年度: | 100 |
| 語文別: | 英文 |
| 論文頁數: | 72 |
| 中文關鍵詞: | M2M網路 、資料聚合 、傳輸消耗 、延遲更新 |
| 外文關鍵詞: | M2M network, data aggregation, transmission consumption, delayed update |
| 相關次數: | 點閱:137 下載:4 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
隨著M2M網路的普及與發展,基於M2M網路架構上之應用與服務也隨之快速增加。然而,如何快速而流暢的在M2M網路中傳送封包資訊成為一個重要的議題。在本論文中,我們提出了納入M2M網路應用服務特色的適應性機制。M2M閘道將由M2M節點傳至之資料貯存於緩衝區,並在更新計時器到期時或緩衝區存滿時,將資料匯聚成一新訊息向上傳遞。根據M2M網路應用服務需求,本論文提出了可調整M2M閘道資訊更新速率的機制。我們建立一個在M2M核心網路之適應性延遲更新機制模型,並延伸推導其分析模型。透過調整系統參數,本機制可在M2M核心網路中達到資訊準確率與傳輸能量消耗之平衡與優化。最後,我們透過模擬實驗來驗證本論文之分析模型並描述其機制運作方式。
With the popularity of M2M network, the applications based on M2M network have an exponential growth. How to transmit packets smoothly and effectively in M2M network becomes an important issue. In this thesis, we proposed an adaptive mechanism which takes the characteristics of M2M applications into account. M2M gateway queues the packets from M2M nodes in the buffer and aggregates into one new packet when the update timer reaches the time threshold or the buffer is full. Moreover, we adjust the update rate of M2M gateway according to the M2M application requests. We model the adaptive delayed update mechanism and expand an analytical model on M2M core network. By adjusting system parameters dynamically, the mechanism optimizes the balance between the data validity and the energy consumption on the M2M core network. Finally, we develop a simulation model to validate our proposed analytical model and explain our adaptive mechanism.
[1] 3GPP TR 22.868:, “Study on Facilitating Machine to Machine Communication in 3GPP Systems,” 2007.
[2] IBM, “Smarter Planet,” http://www.ibm.com/smarterplanet/us/en/ 2012.
[3] U.S. Department of Energy, “SmartGrid.gov,” http://www.smartgrid.gov/ 2012.
[4] European Commission, “Smart Grids European Technology Platform,” http://www.smartgrids.eu/ 2012.
[5] Z. M. Fadlullah, M. M. Fouda, N. Kato, A. Takeuchi, N. Iwasaki, and Y. Nozaki, "Toward intelligent machine-to-machine communications in smart grid," IEEE Communications Magazine, vol. 49, pp. 60-65, 2011.
[6] R. N. Murty, G. Mainland, I. Rose, A. R. Chowdhury, A. Gosain, J. Bers, and M. Welsh, "CitySense: An Urban-Scale Wireless Sensor Network and Testbed," IEEE Technologies for Homeland Security, pp. 583-588, May 2008.
[7] “CitySense,” http://www.citysense.net/ 2012.
[8] J. A. Galache, J. R. Santana, V. Gutierrez, L. Sanchez, P. Sotres, and L. Munoz, "Towards experimentation-service duality within a Smart City scenario," 9th Annual Conference on Wireless On-demand Network Systems and Services, pp. 175-181, Jan. 2012.
[9] E. Fasolo, M. Rossi, J. Widmer, and M. Zorzi, "In-network aggregation techniques for wireless sensor networks: a survey," IEEE Wireless Communications, vol. 14, pp. 70-87, Apr. 2007.
[10] S. Santini, and K. Römer, “An Adaptive Strategy for Quality-Based Data Reduction in Wireless Sensor Networks,” International Conference on Networked Sensing Systems, 2006.
[11] T. P. Sharma, R. C. Joshi, and M. Misra, "Tuning Data Reporting and Sensing for Continuous Monitoring in Wireless Sensor Networks," IEEE International Conference on Computing and Communications Conference, pp. 412-417, Dec. 2008.
[12] H. Seung Tae and C. Jae Woo, "A New Data Filtering Scheme Based on Statistical Data Analysis for Monitoring Systems in Wireless Sensor Networks," IEEE 13th International Conference on High Performance Computing and Communications, pp. 635-640, Sep. 2011.
[13] A. Manjeshwar and D. P. Agrawal, "TEEN: a routing protocol for enhanced efficiency in wireless sensor networks," 15th International Parallel and Distributed Processing Symposium, pp. 2009-2015, Apr. 2001.
[14] D. Tsitsipis, S.M. Dima, A. Kritikakou, C. Panagiotou, and S. Koubias, “Data merge: A data aggregation technique for wireless sensor networks,” Emerging Technologies and Factory Automation, pp. 1-4, 2011.
[15] L. Karim, T. El Salti, and N. Nasser, "Routing on Mini-Gabriel graphs in Wireless Sensor Networks," IEEE 7th International Conference on Wireless and Mobile Computing, Networking and Communications, pp. 105-110, Oct. 2011.
[16] T. Ngo Chi, T. Pham Minh, and O. Hoon, "An optimized message aggregation method to resolve funneling effect in mobility management," International Conference on Mobile and Wireless Networking, pp. 104-109, Oct. 2011.
[17] L. Karim, N. Nasser, H. Abdulsalam, and I. Moukadem, "An Efficient Data Aggregation Approach for Large Scale Wireless Sensor Networks," IEEE Global Telecommunications Conference, pp. 1-6, Dec. 2010.
[18] B. Krishnamachari, D. Estrin, and S. B. Wicker, “The Impact of Data Aggregation in Wireless Sensor Networks,” International Conference on Distributed Computing Systems, pp. 575-578, 2002.
[19] D. Sutic, I. Rodhe, C. Rohner, and B. Victor, “Lower trees with fixed degrees: A recipe for efficient secure hierarchical aggregation in WSNs,” IEEE Wireless Communications and Networking, pp. 659-664, Mar. 2011.
[20] M. H. Yeganeh, H. Yousefi, N. Alinaghipour, and A. Movaghar, "RDAG: A Structure-Free Real-Time Data Aggregation Protocol for Wireless Sensor Networks," IEEE 17th International Conference on Embedded and Real-Time Computing Systems and Applications, pp. 51-60, Aug. 2011.
[21] K. W. Fan, S. Liu, and P. Sinha, "Structure-Free Data Aggregation in Sensor Networks," IEEE Transactions on Mobile Computing, vol. 6, no. 8, pp. 929-942, 2007.
[22] C. M. Chao, and T. Y. Hsiao, “Design of Structure-Free and Energy-Balanced Data Aggregation in Wireless Sensor Networks,” 11th IEEE International Conference on High Performance Computing and Communications, pp. 222-229, Jun. 2009.
[23] S. I. Sou, and C. S. Lin, “SPR Proxy Mechanism for 3GPP Policy and Charging Control System,” Computer Networks, vol. 55, no. 17, pp. 3847-3862, Dec. 2011.