The Community for Technology Leaders
RSS Icon
Issue No.12 - December (2009 vol.8)
pp: 1705-1717
Wei Wang , University of California, Davis, Davis
Xin Liu , University of California, Davis, Davis
Dilip Krishnaswamy , Qualcomm Corporation, San Diego
Joint routing-and-scheduling has been considered in wireless mesh networks for its significant performance improvement. While existing work assumes it, accurate traffic information is usually not available due to traffic dynamics, as well as inaccuracy and delay in its measurement and dissemination. In addition, the joint routing and scheduling usually requires a centralized controller to calculate the optimal routing and scheduling and distribute such policies to all the nodes. Thus, even if the accurate traffic information is always available, the central controller has to compute the routing and scheduling repeatedly because the traffic demands change continuously. This leads to prohibitive computation and distribution overhead. Therefore, in this paper, we propose a joint routing-scheduling scheme that achieves robust performance under traffic information uncertainty. In particular, it achieves worst-case optimal performance under a range of traffic conditions. This unique feature validates the use of centralized routing and scheduling in wireless mesh networks. As long as the traffic variation is within the estimation range, the routing and scheduling do not need to be recomputed and redistributed. Through extensive simulations, we show that our proposed scheme meets the objective (i.e., optimizes the worst-case performance). Moreover, although it only guarantees the worst-case performance in theory, its average performance is also good. For example, our proposed scheme can perform better than a fixed optimal routing and scheduling scheme in more than 80 percent of 500 random traffic instances. Our scheme provides insights on the desired properties of multipath routing, namely, spatial reuse and load balancing.
Robust, routing, scheduling, traffic-oblivious, wireless mesh.
Wei Wang, Xin Liu, Dilip Krishnaswamy, "Robust Routing and Scheduling in Wireless Mesh Networks under Dynamic Traffic Conditions", IEEE Transactions on Mobile Computing, vol.8, no. 12, pp. 1705-1717, December 2009, doi:10.1109/TMC.2009.86
[1] K. Jain, J. Padhye, V.N. Padmanabhan, and L. Qiu, “Impact of Interference on Multi-Hop Wireless Network Performance,” Proc. ACM MobiCom, 2003.
[2] R. Cruz and A. Santhanam, “Optimal Routing, Link Scheduling and Power Control in Multihop Wireless Networks,” Proc. IEEE INFOCOM, 2003.
[3] J. Zhang, H. Wu, Q. Zhang, and B. Li, “Joint Routing and Scheduling in Multi-Radio Multi-Channel Multi-Hop Wireless Networks,” Proc. IEEE Int'l Conf. Broadband Networks, 2005.
[4] M. Kodialam and T. Nandagopal, “Characterizing the Capacity Region in Multi-Radio Multi-Channel Wireless Mesh Networks,” Proc. ACM MobiCom, pp. 73-87, 2005.
[5] T. Larsson and N. Hedman, “Routing Protocols in Wireless Ad-Hoc Networks—a Simulation Study,” Master's thesis, LuLea Tekniska Univ., 1998.
[6] J. Bicket, D. Aguayo, S. Biswas, and R. Morris, “Architecture and Evaluation of an Unplanned 802.11b Mesh Network,” Proc. ACM MobiCom, pp. 31-42, 2005.
[7] R. Draves, J. Padhye, and B. Zill, “Comparison of Routing Metrics for Static Multi-Hop Wireless Networks,” Proc. ACM SIGCOMM, pp. 133-144, 2004.
[8] S. Mueller, R.P. Tsang, and D. Ghosal, “Multipath Routing in Mobile Ad Hoc Networks: Issues and Challenges,” Lecture Notes in Computer Science, Springer, 2004.
[9] W. Lou, W. Liu, and Y. Zhang, “Performance Optimization Using Multipath Routing in Mobile Ad Hoc and Wireless Sensor Networks,” Combinatorial Optimization in Communication Networks, Kluwer, 2005.
[10] Y. Ganjali and A. Keshavarzian, “Load Balancing in Ad Hoc Networks: Single-Path Routing versus Multi-Path Routing,” Proc. IEEE INFOCOM, 2004.
[11] H. Räcke, “Minimizing Congestion in General Networks,” Proc. IEEE Symp. Foundations of Computer Science (FOCS '02), 2002.
[12] Y. Azar, E. Cohen, A. Fiat, H. Kaplan, and H. Racke, “Optimal Oblivious Routing in Polynomial Time,” Proc. ACM Symp. Theory of Computing (STOC '03), 2003.
[13] D. Applegate and E. Cohen, “Making Intra-Domain Routing Robust to Changing and Uncertain Traffic Demands: Understanding Fundamental Tradeoffs,” Proc. ACM SIGCOMM, 2003.
[14] Y. Li, J. Harms, and R. Holte, “Optimal Traffic-Oblivious Energy-Aware Routing for Multihop Wireless Networks,” Proc. IEEE INFOCOM, 2006.
[15] A. Kashyap, S. Sengupta, R. Bhatia, and M. Kodialam, “Two-Phase Routing, Scheduling and Power Control for Wireless Mesh Networks with Variable Traffic,” Proc. ACM SIGMETRICS, 2007.
[16] Cisco, “Using Radio Resource Management to Deliver Secure and Reliable WLAN Services,” white paper, 2005.
[17] I. Scalable Network Tech nologies, “Qualnet 4.0 User's Guide,” 2006.
[18] P. Stuedi and G. Alonso, “Log-Normal Shadowing Meets SINR: A Numerical Study of Capacity in Wireless Networks,” Proc. IEEE Sensor, Mesh and Ad Hoc Comm. Networks (SECON '07), 2007.
[19] G. Sharma, R.R. Mazumdar, and N.B. Shroff, “On the Complexity of Scheduling in Wireless Networks,” Proc. ACM MobiCom, 2006.
[20] J. Tang, G. Xue, and W. Zhang, “Interference-Aware Topology Control and QOS Routing in Multi-Channel Wireless Mesh Networks,” Proc. ACM MobiHoc, 2005.
[21] M. Burkhart, P. von Rickenbach, R. Wattenhofer, and A. Zollinger, “Does Topology Control Reduce Interference,” Proc. ACM MobiHoc, 2004.
[22] G. Brar, D.M. Blough, and P. Santi, “Computationally Efficient Scheduling with the Physical Interference Model for Throughput Improvement in Wireless Mesh Networks,” Proc. ACM MobiCom, 2006.
[23] O. Goussevskaia, Y.A. Oswald, and R. Wattenhofer, “Complexity in Geometric SINR,” Proc. ACM MobiHoc, 2007.
[24] T.H. Cormen, C.E. Leiserson, R.L. Rivest, and C. Stein, Introduction to Algorithms, second ed. The MIT Press, 2001.
[25] R. Jain, A. Durresi, and G. Babic, “Throughput Fairness Index: An Explanation,” ATM Forum Document Number: ATM Forum/99-0045, Dept. of Computer and Information Science, The Ohio State Univ. 1999.
[26] J. Vicente, S. Rungta, G. Ding, D. Krishnaswamy, W. Chan, and K. Miao, “OverMesh: Network Centric Computing,” IEEE Comm. Magazine, to appear.
[27] G. Ding, J. Vicente, S. Rungta, D. Krishnaswamy, W. Chan, and K. Miao, “Overlays on Wireless Mesh Networks: Implementation and Cross-Layer Searching,” Proc. Ninth IFIP/IEEE Int'l Conf. Management of Multimedia and Mobile Networks and Services, 2006.
49 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool