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Issue No.02 - February (2008 vol.7)
pp: 275-288
In this paper, we propose a new mechanism to select the cells and the wireless technologies for layer-encoded video multicasting in the heterogeneous wireless networks. Different from the previous mechanisms, each mobile host in our mechanism can select a different cell with a different wireless technology to subscribe each layer of a video stream, and each cell can deliver only a subset of layers of the video stream to reduce the bandwidth consumption. We formulate the Cell and Technology Selection Problem (CTSP) to multicast each layer of a video stream as an optimization problem. We use Integer Linear Programming to model the problem and show that the problem is NP-hard. To solve the problem, we propose a distributed algorithm based on Lagrangean relaxation and a protocol based on the proposed algorithm. Our mechanism requires no change of the current video multicasting mechanisms and the current wireless network infrastructures. Our algorithm is adaptive not only to the change of the subscribers at each layer but also the change of the locations of each mobile host.
Multicast, layer-encoded video, heterogeneous wireless networks
De-Nian Yang, Ming-Syan Chen, "Bandwidth Efficient Video Multicasting in Multiradio Multicellular Wireless Networks", IEEE Transactions on Mobile Computing, vol.7, no. 2, pp. 275-288, February 2008, doi:10.1109/TMC.2007.70725
[1] W. Kumwilaisak et al., “A Cross-Layer Quality-of-Service Mapping Architecture for Video Delivery in Wireless Networks,” IEEE J. Selected Areas in Comm., vol. 21, no. 10, pp. 1685-1698, Dec. 2003.
[2] M. Chen and A. Zakhor, “Rate Control for Streaming Video over Wireless,” IEEE Wireless Comm., vol. 12, no. 4, pp. 32-41, Aug. 2005.
[3] Y. Liang and B. Girod, “Network-Adaptive Low-Latency Video Communication over Best-Effort Networks,” IEEE Trans. Circuits and Systems for Video Technology, vol. 16, no. 1, pp. 72-81, Jan. 2006.
[4] W. Li, “Overview of Fine Granularity Scalability in MPEG-4 Video Standard,” IEEE Trans. Circuits and Systems for Video Technology, vol. 11, no. 3, pp. 301-317, Mar. 2001.
[5] J. Ohm, “Advances in Scalable Video Coding,” Proc. IEEE, vol. 93, no. 1, pp. 42-56, Jan. 2005.
[6] J.-L. Huang, W.-C. Peng, and M.-S. Chen, “SOM: Dynamic Push-Pull Channel Allocation Framework for Mobile Data Broadcasting,” IEEE Trans. Mobile Computing, vol. 5, no. 8, pp. 974-990, Aug. 2006.
[7] S. McCanne, V. Jacobson, and M. Vetterli, “Receiver-Driven Layered Multicast,” Proc. ACM SIGCOMM, vol. 26, no. 4, pp.117-130, 1996.
[8] B. Vickers, C. Albuquerque, and T. Suda, “Source-Adaptive Multilayered Multicast Algorithms for Real-Time Video Distribution,” IEEE/ACM Trans. Networking, vol. 8, no. 6, pp. 720-733, Dec. 2000.
[9] T. Kim and M. Ammar, “Optimal Quality Adaptation for MPEG-4 Fine-Grained Scalable Video,” Proc. IEEE INFOCOM, vol. 1, pp.641-651,
[10] J. Liu, B. Li, Y. Hou, and I. Chlamtac, “On Optimal Layering and Bandwidth Allocation for Multisession Video Broadcasting,” IEEE Trans. Wireless Comm., vol. 3, no. 2, pp. 656-667, Mar. 2004.
[11] S. Zhao, Z. Xiong, and X. Wang, “Optimal Resource Allocation for Wireless Video over CDMA Networks,” IEEE Trans. Mobile Computing, vol. 4, no. 1, pp. 56-67, Jan./Feb. 2005.
[12] G.L. Nemhauser and L.A. Wosley, “Integer and Combinatorial Optimization,” Wiley-Interscience Series in Discrete Mathematics and Optimization, 1999.
[13] X. Yong, D. Harrison, S. Kalyanaraman, K. Ramachandran, and A. Venkatesan, “Accumulation-Based Congestion Control,” IEEE/ACM Trans. Networking, vol. 13, no. 1, pp. 69-80, Feb. 2005.
[14] I. Paschalidis and Y. Liu, “Pricing in Multiservice Loss Networks: Static Pricing, Asymptotic Optimality and Demand Substitution Effects,” IEEE/ACM Trans. Networking, vol. 10, no. 3, pp. 425-438, June 2002.
[15] C. Beard and V. Frost, “Prioritized Resource Allocation for Stressed Networks,” IEEE/ACM Trans. Networking, vol. 9, no. 5, pp. 618-633, Oct. 2001.
[16] M. Chiang, “Balancing Transport and Physical Layers in Wireless Multihop Networks: Jointly Optimal Congestion Control and Power Control,” IEEE J. Selected Areas in Comm., vol. 23, no. 1, pp.104-116, Jan. 2005.
[17] Y. Zhang, O. Yang, and H. Liu, “A Lagrangean Relaxation and Subgradient Framework for the Routing and Wavelength Assignment Problem in WDM networks,” IEEE J. Selected Areas in Comm., vol. 22, no. 9, pp. 1752-1765, Nov. 2004.
[18] E.W.M. Wong, A.K.M. Chan, and T.-S.P. Yum, “Analysis of Rerouting in Circuit-Switched Networks,” IEEE/ACM Trans. Networking, vol. 8, no. 3, pp. 419-427, June 2000.
[19] K.-C. Lee and V.O.K. Li, “A Wavelength Rerouting Algorithm in Wide-Area All-Optical Networks,” IEEE J. Lightwave Technology, vol. 14, no. 6, pp. 1218-1229, June 1996.
[20] A. Donner, M. Berioli, and M. Werner, “MPLS-Based Satellite Constellation Networks,” IEEE J. Selected Areas in Comm., vol. 22, no. 3, pp. 438-448, Apr. 2004.
[21] K. Pahlavan et al., “Handoff in Hybrid Mobile Data Networks,” IEEE Personal Comm., vol. 7, no. 2, pp. 34-47, Apr. 2000.
[22] J. McNair, I.F. Akyildiz, and M. Bender, “An Inter-System Handoff Technique for the IMT-2000 System,” Proc. IEEE INFOCOM, vol. 1, pp. 208-216, 2000.
[23] J. McNair and F. Zhu, “Vertical Handoffs in Fourth-Generation Multinetwork Environments,” IEEE Wireless Comm., vol. 11, no. 3, pp. 8-15, June 2004.
[24] Y. Pan, M. Lee, J.B. Kim, and T. Suda, “An End-to-End Multipath Smooth Handoff Scheme for Stream Media,” IEEE J. Selected Areas in Comm., vol. 22, no. 4, pp. 653-663, May 2004.
[25] B. Fortz and M. Thorup, “Optimizing OSPF/IS-IS Weights in a Changing World,” IEEE J. Selected Areas in Comm., vol. 20, no. 4, pp. 756-767, May 2002.
[26] M.R. Gary and D.S. Johnson, Computer and Intractability: A Guide to the Theory of NP-Hardness. W.H. Freeman, 1979.
[27] CPLEX Mathematical Programming Optimizer, http://www.ilog. com/productscplex/, 2007.
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