SIMULATION AND ANALYSIS OF WIRELESS MESH NETWORK IN ADVANCED METERING INFRASTRUCTURE

1. SIMULATION AND ANALYSIS OF WIRELESS MESH NETWORK IN ADVANCED METERING INFRASTRUCTURE Master’s Thesis Proposal PHILIP HUYNH April 21, 2010 Advisor Dr. EDWARD CHOW

2. COLORADO SPRINGS AMI COMMUNICATION NETWORK Source: Chow Edward, “Secure Smart Grids”, pp. 6 [2]

3. MOTIVATIONS • Benefits of Real-time Meter Data • Utilities reduces Electricity Production Cost • Production Cost = Operation & Maintenance + Fuel • Adjusting Fuel usage depend on Electricity Power usage • Advantages of WMN • Low cost of Management and Maintenance • Increased Reliability • Scalability, Flexibility, and low Cost • Robust Security

4. GOALS • Research and Developing an AMI’s Communication Network Solution using WMN technologies • Develop tools and techniques to assist the research and development, especially for the real-time Meter Data Collection application • Focus on the WMN properties • Performance • Scalability

5. PROBLEM STATMENTS • Designing and Deployment using WMN techniques - Challenge Questions • Does the WMN meet the network performance requirements for real-time Meter Data Collection? • What is the trade-off between the Scalability and the Performance?

6. APPROACH • Develop a Network Model for Communication Network • It is a Metropolitan Area Network (MAN) • We are interested in a Hybrid WMN Architecture • High Scalability • Integrated Technologies: 802.11, 802.16 • An Important Architecture in the Future • Develop an AMI application: MeterReportingSim • To simulate the process of meter data reporting • Simulate the AMI Meter Data Reporting process • Develop and Implement the Scenarios in Network Simulator SW • Analyze the Results • Statistical End-to-end Network Performance: Throughput, Delay • Trade-off between Scalability and Performance of network model. • Number of WLANs vs. Throughput and Delay • Number of Hops vs. Throughput and Delay

7. TASKS • Already Complete • Research AMI, WMN/Hybrid WMN Architecture, NS-2, NCTUns 6.0 • Develop a Network Model • Develop the technique for the simulation of Network Model with a large number nodes. • Develop the AMI Application: MeterReportingSim • In Progress: Intent to complete in Spring 2010 Semester • Develop and Implement the Simulation Scenarios in NCTUns 6.0 • Future: Intent to complete in Spring 2010 Semester • Simulate the Scenarios in the NCTUns 6.0 • Analyze the Simulation Results • Write Thesis Report

8. TASKS cont. Figure 1: AMI’s Communication Network Model using Wi-Fi, and WiMAX Figure 2: MeterReportingSim Application

9. TASKS cont. Figure 3: Network Model is implemented with Network Simulator NCTUns 6.0

10. DELIVERABLES • The MeterReportingSim Application • Source Code • Program User Guide • Thesis Report • WMN Technologies • Network Model • Simulation Technique for Network Model • Simulation Scenarios: Descriptions, Parameter Settings for network model • Simulation Results and Analysis • Network Simulator SW: NCTUns 6.0

11. REFERENCES • [1] “Smart Grid”, <http://en.wikipedia.org/wiki/Smart_grid> • [2] Edward Chow, “Secure Smart Grids”, Department of Computer Science, University of Colorado at Colorado Springs, 2009. • [3] “Advanced Metering infrastructure”, National Energy Technology Laboratory white paper, February 2008. • [4] Prasant Mohapatra, “Wireless Mesh Networks”, Department of Computer Science University of California, Davis. • [5] I. F. Akyildiz, X. Wang, and W. Wang, "Wireless Mesh Networks: A Survey," Computer Networks Journal (Elsevier), vol. 47, no. 4, pp. 445-487, Mar. 2005. • [6] Srini Krishnamurthy, “Smart AMI Network Solutions Enable the Smart Grid”, ElectricEnergyOnline.com, <http://www.electricenergyonline.com/?page=show_article&mag=55&article=395> • [7] “Understanding Wi-Fi and WiMAX as Metro-Access Solutions”, Intel Corporation white paper, 2004. • [8] B. Liu, Z. Liu, and D. Towsley, "On the capacity of hybrid wireless networks", in Proceedings of IEEE INFOCOM, Mar. 2003, vol. 2, pp. 1543-1552. • [9] S. Zhao and D. Raychaudhuri, "On the Scalability of Hierarchical Hybrid Wireless Networks, Proceedings of the Conference on Information Sciences and Systems (CISS 2006), March 2006, pp. 711-716. • [10] S. Zhao, I. Seskar and D. Raychaudhuri, "Performance and Scalability of Self-Organizing Hierarchical Ad-Hoc Wireless Networks," Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC'04), Atlanta, GA. March 2004, pp. 132-137.

12. REFERENCES Cont. • [11] J. –H. Huang, L. -C. Wang, C. -J. Chang, “Wireless Mesh Network: Architecture and Protocols”, chapter title “Architectures and Deployment Strategies for Wireless Mesh Networks”, Springer 2008. • [12] “OSI Model”, <http://en.wikipedia.org/wiki/OSI_model> • [13] IEEE Standard 802 Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, 2007. • [14] IEEE Standard 802 Part 15.1: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Personal Area Networks (WPANs), 2005. • [15] IEEE Standard 802 Part 16: Air Interface for Broadband Wireless Access Systems, 2009. • [16] WiMAX community, <http://www.wimax.com> • [17] The Network Simulator Ns-2, <http://www.isi.edu/nsnam/ns/> • [18] NCTUns 6.0 Network Simulator and Emulator, <http://nsl.csie.nctu.edu.tw/nctuns.html> • [19] “The Protocol Developer Manual for the NCTUns 6.0”, Network and System Laboratory, Department of Computer Science, National Chiao Tung University, Taiwan 2010. • [20] S.M. Huang, Y.C. Sung, S.Y. Wang, and Y.B. Lin, “NCTUns Simulation Tool for WiMAX Modeling,” Third Annual International Wireless Internet Conference, October 22 – 24, 2007, Austin, Texas, USA. (EI and ISI indexed, sponsored by ICST, ACM, and EURASIP) • [21] N.B. Salem and J.-P. Hubaux, "Securing Wireless Mesh Networks," Wireless Comm., vol. 13, no. 2, 2006, pp. 50–55.