(3.210.184.142) 您好!臺灣時間:2021/05/12 04:43
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果

詳目顯示:::

我願授權國圖
: 
twitterline
研究生:莊棨椉
研究生(外文):Chi-Cheng Chuang
論文名稱:智慧電網中無線感測網路之服務導向雲端管理與空間式IP位址定址
論文名稱(外文):Service-Oriented Cloud Management and Spatial IP Address Configuration for Wireless Sensor Networks in Smart Grid
指導教授:張瑞益張瑞益引用關係
指導教授(外文):Ray-I Chang
口試委員:蔡國煇丁肇隆黃乾綱張大緯張軒彬王家輝林正偉張信宏
口試委員(外文):Kuo-Hui TsaiChao-Lung TingChien-Kang HuangDa-Wei ChangHsuan-Pin ChangChia-Hui WangCheng-Wei LinShin-Hung Chang
口試日期:2013-06-27
學位類別:博士
校院名稱:國立臺灣大學
系所名稱:工程科學及海洋工程學研究所
學門:工程學門
學類:綜合工程學類
論文種類:學術論文
論文出版年:2013
畢業學年度:101
語文別:英文
論文頁數:128
中文關鍵詞:智慧電網無線感測網路空間位址IPv4位址IPv6位址
外文關鍵詞:Smart gridWireless sensor networksSpatial IPIPv4 addressIPv6 address
相關次數:
  • 被引用被引用:0
  • 點閱點閱:342
  • 評分評分:系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
智慧電網在環境永續發展與能源效益議題中扮演重要的角色,而無線感測網路則為智慧電網提供了有效的網路解決方案。由於現有網路架構以IP網路為主,要無縫連接無線感測網路到現有IP網路的主要挑戰之一,便是要讓每一個感測節點擁有唯一的IP位址,來避免網路封包傳送失敗之問題;且各感測節點的IP位址若能對應實體空間關係,可減少網路傳送的路徑與降低節點能耗。根據上述動機,本研究根據不同的環境需求,與確保透過IP位置能對應實體空間關係,提出四個新的IP位址配置演算法。其中SLIPA-D與SLIPA-Q兩個演算法針對一般2D環境;另兩個3DSLIPA與PSIPA演算法則擴展考慮都會區智慧型電網的3D環境,並同時考慮IPv6。此外,由於感測節點計算能力低、極小的資料儲存空間、以及有限的能源,使得傳統的網路管理技術不適合應用於無線感測網路。本研究亦針對智慧電網提出一個新的服務導向雲端網路管理架構(稱為SCNA-WSN),讓用戶可以根據智慧電網系統之需求來整合與使用各種網路服務。我們不僅提供了理論分析,也實作了一個系統來證明SCNA-WSN可以降低整合不同雲端平台和異質感測網路架構的難度。在IP位址方面,我們利用 assignment success rate (ASR) 與 total energy consumption (TEC) 作為定址時的效能評估。實驗結果顯示,在2D與IPv4的環境,節點採用隨機分布,ASR為88%的狀況下,SLIPA-Q、SLIPA-D、SIPA成功指定IP之節點數分別為950、850、135,SLIPA-Q成功節點數為SIPA的7倍,SLIPA-D為SIPA的6.3倍;而在比較成功指定250個節點的IP之TEC,SLIPA-Q、SLIPA-D與SIPA、分別為12.513、12.513、31.34焦耳,SLIPA-Q與SLIPA-D之TEC比SIPA減少60%。而在3D與IPv6的環境,節點採用隨機分布,ASR為88%的狀況下,PSIPA、3DSLIPA、IPv6SAA成功指定IP之節點數分別為32,690、8,964、960,PSIPA成功指定之節點數為IPv6SAA的34.1倍,3DSLIPA為IPv6SAA的9.3倍。而在比較成功指定250個節點的IP之TEC,PSIPA、3DSLIPA、IPv6SAA分別為0.74、20.92、379.68焦耳。經由實驗結果可知,我們所提出的方法較現有的方法有較高的 ASR 與較低的 TEC。

Smart grids play an important role in environmental sustainability and energy efficiency. Wireless sensor networks (WSNs) are envisioned to provide an effective wireless network solution for smart grids. Networks currently in use are IP-based, but WSNs are not IP-based. One of the primary challenges for seamlessly connecting non-IP WSNs to existing IP networks is IP address configuration because nodes with unique addresses are prerequisites for reliable end-to-end communication in IP networks. If the spatial relationship among nodes can be maintained, they are easy to manage, an efficient geographic routing protocol is deployed in the WSN and energy consumption is reduced. Because of the above motivations, this dissertation proposes four new IP address assignment algorithms. Among them, SLIPA-D and SLIPA-Q are suitable for 2D environments, and 3DSLIPA and PSIPA extend to 3D environments after including urban smart grids and IPv6. Traditional network management techniques cannot be applied to WSNs because of their low computing ability, their small memory space, and the limited energy of WSNs available for use in the smart grid. This dissertation proposes a new Service-oriented Cloud computing Network management Architecture for WSN (called SCNA-WSN). Users can integrate the architecture with various Internet management resources, depending on their smart grid system requirements. This dissertation provides the theoretic analysis and the implementation of a system to demonstrate that an SCNA-WSN can decrease the difficulty of integrating different cloud platforms and heterogeneous sensors. With specific application to IP addresses, this dissertation evaluates the performance by assignment success rate (ASR) and total energy consumption (TEC). The results show that, under the condition of random distribution and ASR setting for 88% in the 2D and IPv6 environment, the number of IP modes successfully assigned for SLIPA-Q, SLIPA-D and SIPA is 950, 850, and 135, respectively. The successfully assigned nodes for SLIPA-Q are 7 times that for SIPA, and those for SLIPA-D are 6.3 times that for SIPA. Compared with the TEC result of 250 nodes successfully assigned, the SLIPA-Q, SLIPA-D, and SIPA result is 12.513, 12.513 and 31.3 J, respectively, and the TEC of SLIPA-Q and SLIPA-D is lower than SIPA by approximately 60%. In the 3D environment with IPv6, under the condition of random node distribution and 88% ASR setting, the number of IP nodes successfully assigned for PSIPA, 3DSLIPA, and IPv6SAA is 32690, 8964, and 960, respectively. The successfully assigned nodes of PSIPA are 34.1 times that of IPv6SAA, and those of 3DSLIPA are 9.3 times that of IPv6SAA. Comparing with the TEC of 250 nodes successfully assigned, the PSIPA, 3DSLIPA, and IPv6SAA is 0.74, 20.92, and 379.68 J, respectively. Therefore, compared to the previous algorithms, the ones which this dissertation proposes have higher ASR and lower TEC.

誌謝 vii
摘要 viii
ABSTRACT ix
Chapter 1 Introduction 1
1.1 Research background 1
1.2 Motivation 6
1.3 Contributions 8
Chapter 2 Related Works 14
2.1 Network management of WSNs in smart grid 14
2.2 IPv4/IPv6 address assignments 19
2.3 Spatial IP address assignments 20
Chapter 3 System Architecture of the SCNA-WSN 23
3.1 The flow of the SCNA-WSN 23
3.2 Features of the SCNA-WSN 26
3.3 Internal operation of the SCNA-WSN 29
3.4 Communication between the SCNA-WSN and the Internet 32
3.5 SCNA-WSN Security 33
Chapter 4 Theoretic Analysis and System Implementation for the SCNA-WSN 36
4.1 Bandwidth cost and service latency analysis 36
4.2 Comparison with other architectures 39
4.3 Implementation 41
Chapter 5 Proposed IP Assignment Algorithms 45
5.1 Scan Line IP Assignment with equal-Distance partition (SLIPA-D) 46
5.2 Scan Line IP Assignment with equal-Quantity partition (SLIPA-Q) 52
5.3 3-Dimensional Scan Line IP Assignment (3DSLIPA) 59
5.4 Propagated Spatial IP address Assignment (PSIPA) 64
Chapter 6 Performance Evaluations for IP assignment algorithms 76
6.1 Comparing the ASR of SIPA, SLIPA-D and SLIPA-Q 79
6.2 Comparing the ASR of IPv6SAA, SLIPA-Q and PSIPA 92
6.3 Comparing the ASR of SIPA3D, IPv6SAA, 3DSLIPA and PSIPA 103
Chapter 7 Conclusions 119
REFERENCES 122


[1]U.S. Energy Information Administration. Annual Energy Review 2011. Available at: http://www.eia.gov/totalenergy/data/annual/index.cfm. September 2012.
[2]Adrian Booth, Nuri Demirdoven, and Humayun Tai, “The Smart Grid Opportunity for Solutions Providers,” McKinsey on Smart Grid, no.1, pp.45-52, July 2010.
[3]Hassan Farhangi, “The Path of the Smart Grid,” IEEE Power and Energy Magazine, vol.8, no.1, pp.18-28, February 2010.
[4]Ray-I Chang, Te-Chih Wang, Chia-Hui Wang, Jen-Chang Liu, and Jan-Ming Ho, “Effective Distributed Service Architecture for Ubiquitous Video Surveillance,” Information Systems Frontiers, vol. 14, no. 3, pp.499-515, July 2012.
[5]Winnie Louis Lee, Amitava Datta, and Rachel Cardell-Oliver, “Network Management in Wireless Sensor Networks,” Handbook of Mobile Ad Hoc and Pervasive Communications, American Scientific Publishers, 2006.
[6]Veehbi C. Gungor, Bin Lu, and Gerhard P. Hancke, “Opportunities and Challenges of Wireless Sensor Networks in Smart Grid,” IEEE Transactions on Industrial Electronics, vol. 57, no. 10, pp.3557–3564, October 2010.
[7]Li Li, Hu Xiaoguang, Chen Ke, and He Ketai, “The Applications of WiFi-based Wireless Sensor Network in Internet of Things and Smart Grid,” The 6th IEEE Conference on Industrial Electronics and Applications (ICIEA), pp.789-793, June 2011.
[8]Hoi Yan Tung, Kim Fung Tsang, and Ka Lun Lam, “ZigBee Sensor Network for Advanced Metering Infrastructure,” IEEE 2010 Digest of Technical Papers International Conference on Consumer Electronics (ICCE), pp.95-96, January 2010.
[9]Shan-Wen Luan, Jen-Hao Teng, Shun-Yu Chan, and Lain-Chyr Hwang, “Development of a Smart Power Meter for AMI Based on ZigBee Communication,” The International Conference on Power Electronics and Drive Systems (PEDS), pp.661-665, November 2009.
[10]R. Droms, B. Volz, T. Lemon, C. Perkins, and M.Carney, “Dynamic Host Configuration Protocol for IPv6 (DHCPv6),” IETF RFC 3315, July 2003.
[11]T. Chown, S. Venaas, and C. Strauf, “Dynamic Host Configuration Protocol (DHCP): IPv4 and IPv6 Dual-Stack Issues,” IETF RFC 4477, May 2006.
[12]S. Thomson, T. Narten, and T. Jinmei, “IPv6 Stateless Address Auto-configuration,” IETF RFC 4944, September 2007.
[13]Adam Dunkels, Juan Alonso, and Thiemo Voigt, “Making TCP/IP Viable for Wireless Sensor Networks,” The First European Workshop on Wireless Sensor Networks, January 2004.
[14]Contiki Operating System V2.4 Webpage. Available from: http://www.sics.se/contiki, February 2010.
[15]Jun Luo, Feng Li, and Ying He, “3DQS: Distributed Data Access in 3D Wireless Sensor Networks,” IEEE International Conference on Communications, Ottawa (ICC), pp.1-5, June 2011.
[16]“Advanced Encryption Standard, Federal Information Processing Standard 197,” National Institute of Standards and Technology, 2001.
[17]E. Rescorla, “Diffie–Hellman Key Agreement Method,” IETF RFC 2631, June 1999.
[18]Nithya Ramanathan, Mark Yarvis, Jasmeet Chhabra, Nandakishore Kushalnagar, Lakshman Krishnamurthy, and Deborah Estrin, “A Stream-Oriented Power Management Protocol for Low Duty Cycle Sensor Network Applications,” The Second IEEE Workshop on Embedded Sensor Networks, pp.53-62, May 2005.
[19]Chieh-Yih Wan, Shane B. Eisenman, Andrew T. Campbell, and Jon Crowcrof, “Siphon: Ovefrload Traffic Management Using Multi-radio Virtual Sinks in Sensor Networks,” The 3rd International Conference on Embedded Networked Sensor Systems, pp.116-129, November 2005.
[20]J. Zhang, E.C. Kulasekere, K. Premaratne, and P.H. Bauer, ”Resource Management of Task Oriented Distributed Sensor Networks,” The 2001 IEEE International Symposium on Circuits and Systems (ISCAS), vol.2, pp.513-516, May 2001.
[21]Parascale, http://www.parascale.com/
[22]Rackspace, http://www.rackspacecloud.com
[23]Slicehost, http://www.slicehost.com
[24]Appirio, http://www.appirio.com/
[25]Salesforce, http://www.salesforce.com
[26]Werner Kurschl, and Wolfgang Beer, “Combining Cloud Computing and Wireless Sensor Networks,” The 11th International Conference on Information Integration and Web-based Applications and Services, pp.512-518, December 2009.
[27]Khandakar Ahmed, and Mark Gregory, “Integrating Wireless Sensor Networks with Cloud Computing,” The 7th International Conference on Mobile Ad-hoc and Sensor Networks, pp.364-366, December 2011.
[28]Xuan Hung Le, Sungyoung Lee, Phab Tran Ho, La The Vinh, and Asad Masood Khattak, “Secured WSN-integrated Cloud Computing for u-Life Care,” The 7th IEEE Consumer Communications and Networking Conference, pp.1-2, January 2010.
[29]Kevin Lee, David Murray, Danny Hughes, and Wouter Joosen, “Extending Sensor Networks into the Cloud Using Amazon Web Services,” IEEE International Conference on Networked Embedded Systems for Enterprise Applications, pp.1-7, November 2010.
[30]Wei-Tek Tsai, Xin Sun, and Janaka Balasooriya, “Service-Oriented Cloud Computing Architecture,” The 7th International Conference on Information Technology, pp.684-689, April 2010.
[31]Mengjie Yu, Hala Mokhtar, and Madjid Merabti, “A Survey of Network Management Architecture in Wireless Sensor Network,” The 6th Annual Post Graduate Symposium on The Convergence of Telecommunications, Networking and Broadcasting, June 2006.
[32]Chien-Chung Shen, Chavalit Srisathapornphat, and Chaiporn Jaikaeo, “Sensor Information Networking Architecture and Applications,” IEEE Personal Communications, vol. 8, no. 4, pp.52-59, Aug. 2001.
[33]Phil Buonadonna, David Gay, Joseph M. Hellerstein, Wei Hong, and Samuel Madden, “TASK: Sensor Network in a Box,” The Second European Workshop on Wireless Sensor Networks, pp.133-144, February 2005.
[34]TinyOS, http://www.tinyos.net/
[35]Linnyer Beatrys Ruiz, Jose Marcos Nogueira, and Antonio A.F. Loureiro, “MANNA: A Management Architecture for Wireless Sensor Networks,” IEEE Communications Magazine, vol. 41, no. 2, pp.16–125, February 2003.
[36]Fujun Ye, and Ruifang Pan, “A Survey of Addressing Algorithms for Wireless Sensor Networks,” The 5th International Conference on Wireless Communications, Networking and Mobile Computing, pp.1-7, September 2009.
[37]Günes Mesut and Reibel Jorg, “An IP Address Configuration Algorithm for Zeroconf. Mobile Multi-hop Ad-Hoc Networks,” The International Workshop on Broadband Wireless Ad-Hoc Networks and Services, Sophia Antipolis, September 2002.
[38]Mohammad Nazeeruddin, Gerard Parr, and Bryan Scotney, “An Efficient and Robust Service Discovery Protocol for Dynamic MANETs,” Lecture Notes in Computer Science, vol.4267, pp.49-60, 2006.
[39]M. J. Kim, M. Kumar, and B. A. Shirazi, “A Lightweight Scheme for Auto-configuration in Mobile Ad Hoc Networks,” The 19th IEEE International Parallel and Distributed Processing Symposium, April, 2005.
[40]Sanket Nesargi and Ravi Prakash, “MANETconf: Configuration of Hosts in a Mobile Ad-hoc Network,” IEEE International Conference on Computer Communications (INFOCOM), pp.1059-1068, October 2002.
[41]Nitin H. Vaidya, “Weak Duplicate Address Detection in Mobile Ad Hoc Nnetworks,” The 3rd ACM International Symposium on Mobile Ad Hoc Networking & Computing, pp.206-216, June 2002.
[42]Mansi Ramakrishnan Thoppian and Ravi Prakash, “A Distributed Protocol for Dynamic Address Assignment in Mobile Ad Hoc Networks,” IEEE Transactions on Mobile Computing, vol. 5, no.1, January 2006.
[43]OGC, http://www.opengeospatial.org/
[44]Ruoshui Liu, and Lan J. Wassell, “Opportunities and Challenges of Wireless Sensor Networks Using Cloud Services,” The workshop on Internet of Things and Service Platforms, December 2011.
[45]Hassan Jameel, Riaz Ahmed Shaikh, Heejo Lee, and Sungyoung Lee, “Human Identification through Image Evaluation Using Secret Predicates,” The 7th Cryptographers'' track at the RSA Conference, pp. 67–84, February 2007.
[46]Hadoop, http://hadoop.apache.org/
[47]Chi-Cheng Chuang, and Ray-I Chang, “Weighted Pattern Matching Algorithm for Indoor Location of Wireless Sensor Networks,” Sensor Letters, vol. 10, no. 5/6, pp.1168-1172, May 2012.
[48]Andreas Savvides, Chih-Chieh Han, and Mani B. Strivastava, “Dynamic Fine-grained Localization in Ad-hoc Networks of Sensors,” The 5th International Conference on Mobile Computing and Networking, pp.166-179, August 2001.
[49]Jorge J. Robles, Martin Deicke, and Ralf Lehnert, “3D fingerprint-based Localization for Wireless Sensor Networks,” The 7th Workshop on Positioning, Navigation and Communication, pp.77-85, March 2010.
[50]D. Johnson, C. Perkins, and J. Arkko, “Mobility Support in IPv6,” Internet Engineering Task Force, Request for Comments 3775, June 2004.
[51]Ray-I Chang, Che-Hsuan Chang, and Chi-Cheng Chuang, “Scan-line IP Assignment for Wireless Sensor Networks,” The 5th International Conference on Wireless Communications, Networking and Mobile Computing, September 2009.
[52]Wendi Rabiner Heinzelman, Anantha Chandrakasan, and Hari Balakrishnan, “Energy-efficient Communication Protocol for Wireless Sensor Networks,” The Hawaii International Conference System Sciences, January 2000.
[53]Ray-I Chang, and Chi-Cheng Chuang, “A New Spatial IP Assignment Method for IP-based Wireless Sensor Networks,” International Journal of Personal and Ubiquitous Computing, vol. 16, pp. 1–16, September 2011.


QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
系統版面圖檔 系統版面圖檔