Abstract
Many optimization theoretic based rate allocation strategies have been developed for allocating some optimal rates to the competing users in wireless ad hoc networks. By considering different objective functions (such as congestion level, total packet loss and so on), the researchers propose some optimization framework by which the problem can be solved. Due to the rapid increase in the development of different video applications in such environments and the existence of difficulties in satisfying the pre-specified QoS limits, increasing the received video quality can be considered as an important and challenging issue. The quality of the received video stream is inversely proportional to the amount of distortion which is being imposed on the video stream by the network packet loss and the video encoder. The main objective of the current paper is to introduce an optimization framework in which by optimal rate allocation to some competing video sources, the aggregate distortion of the all of the sources be minimized. The simulation results verify the claims.
Similar content being viewed by others
References
Tonguz, O. K., & Ferrari, O. K. (2006). Ad Hoc wireless networks: A communication-theoretic perspective. Wiley.
Royer E., Toh C.K. (1999) A review of current routing protocols for ad hoc mobile wireless networks. IEEE on Personal Communications 6: 46–55
Setton, E., & Girod, B. (2004). Congestion-distortion optimized scheduling of video over a bottleneck link. In 2004 IEEE 6th Workshop on Multimedia Signal Processing (pp. 179–182).
Setton, E., Zhu, X., & Girod, B. (2004). Congestion-optimized multi-path streaming of video over ad hoc wireless networks. In IEEE International Conference on Multimedia and Expo ICME ’04 (Vol. 3, 2004, pp. 1619–1622).
Agarwal, R., & Goldsmith, A. (2004). Joint rate allocation and routing for multi-hop wireless networks with delay-constrained data. Wireless Systems Lab, Stanford University, CA, USA, Technical Report, 2004.
Adlakha, S., Zhu, X., Girod, B., & Goldsmith, A. J. (2007). Joint capacity, flow and rate allocation for multiuser video streaming over wireless ad-hoc networks. In IEEE International Conference on Communications, 2007. ICC ’07 (pp. 1747–1753).
Zhu, X., Han, S., & Girod, B. (2004). Congestion-aware rate allocation for multipath video streaming over ad hoc wireless networks. In International Conference on Image Processing ICIP ’04 (Vol. 4, pp. 2547–2550).
Setton, E., Zhu, X., & Girod, X. (2004). Congestion based multipath routing of multimedia data over ad hoc networks. In IEEE International Conference on Multimedia and Expo ICME ’04, 2004.
Zhu, X., & Girod, B. (2005). Distributed rate allocation for multi-stream video transmission over ad hoc networks. In Image Processing, IEEE International Conference on ICIP ’05 (Vol. 2, pp. 157–160).
Kelly F.P., Maulloo A.K., Tan D.K.H. (1998) Rate control for communication networks: Shadow prices, proportional fairness and stability. Journal of the Operational Research Society 49: 237–252
Bertsekas,D. P., & Tsitsiklis, J. N. (1989). Parallel and Distributed computation. Old Tappan. NJ, USA: Prentice Hall Inc.
Rappaport, T. (1996). Wireless communications principles and practices. USA: Prentice Hall Inc.
Ning L., Yan G., Li G. (2007) Fast capacity estimation algorithms for manets using directional antennas. Journal of Electronics China 24: 710–716
Zhang J., Cheng L., Marsic I. (2003) Models for non-intrusive estimation of wireless link bandwidth. Lecture Notes in Computer Science 2775: 334–348
Feher K. (1995) Wireless digital communication: Modulation and spread spectrum applications. Prentice Hall Inc, NJ, USA
Stuhlmuller K., Farber N., Link M., Girod B. (2000) Analysis of video transmission over lossy channels. IEEE Journal on Selected Areas in Communications 18: 1012–1032
Papoulis A., Pillai S.U. (2002) Probability, random variables and stochastic processes. McGraw Hill Inc, USA
Bertsekas D., Gallager R. (1987) Data networks. McGraw Hill Inc, USA
Li, X. (2006). Multipath routing and QoS provisioning in mobile ad hoc networks. Ph.D. Dissertation, Queen Mary, University of London.
Gegang1 P., Yan L., Dilin M., Jianghu Y., Chuanshan G. (2004) Mqrp: A multi-path qos routing protocol in ad hoc mobile network. Lecture Notes in Computer Science 3320: 702–705
Liao, W. H., Tseng, Y. C., Wang, S. L., & Sheu, J. P. (2001). A multi-path qos routing protocol in a wireless mobile ad hoc network. In IEEE International Conference on Networking ICON ’01.
Tsai W.K., Antonio J.K., Huang G.M. (1999) Complexity of gradient projection method for optimal routing in data networks. Networking, IEEE/ACM Transactions on Networking 7: 897–905
Goudarzi,P., & Sheikholeslam, F. (2005). A fast fuzzy-based (w,a)-fair rate allocation algorithm. In 19th IEEE International Parallel and Distributed Processing Symposium IPDPS.
Goudarzi, P. (2006). A ga-based fuzzy rate allocation algorithm. In IEEE International Conference on Communications ICC’06, 2006.
The Network Simulator 2, Online available at:http://www.isi.edu/nsnam/ns/.
Broch,J., Maltz, D. A., Johnson, D. B., Hu, Y. C., & Jetcheva, J. (1998). A performance comparison of multi-hop wireless ad hoc network routing protocols. In IEEE International Conference on Mobile Computing and Networking Mobicom ’98.
Marina, M., & Das, S. (2001). On-demand multipath distance vector routing in ad hoc networks. In IEEE International Conference on Network Protocols ICNP ’01.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Goudarzi, P. Multi-Source Video Transmission with Minimized Total Distortion Over Wireless Ad Hoc Networks. Wireless Pers Commun 50, 329–349 (2009). https://doi.org/10.1007/s11277-008-9592-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-008-9592-0