›› 2014, Vol. 29 ›› Issue (4): 576-588.doi: 10.1007/s11390-014-1451-8

Special Issue: Artificial Intelligence and Pattern Recognition; Computer Graphics and Multimedia; Computer Networks and Distributed Computing

• Computer Networks and Distributed Systems • Previous Articles     Next Articles

Multipath Routing of Multiple Description Coded Images in Wireless Networks

Yuan-Yuan Xu1,2 (徐媛媛), Ce Zhu1 (朱策), Senior Member, IEEE, and Lu Yu3 (虞露)   

  1. 1. School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;
    2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore;
    3. Institute of Information and Communication Engineering, Zhejiang University, Hangzhou 310027, China
  • Online:2014-07-05 Published:2014-07-05
  • About author:Yuan-Yuan Xu received her B.E. degree in biomedical engineering and M.E. degree in signal and information processing from Beijing Jiaotong University, in 2005 and 2007, respectively. She pursued her Ph.D. degree in information engineering in the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, and has submitted her thesis. Her research interests include image and video coding, joint source network coding.
  • Supported by:

    The research is partially supported by the Joint Research Fund for Overseas Chinese Scholars and Scholars in Hong Kong and Macao of the National Natural Science Foundation of China under Grant No. 61228102.

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Multiple description coding (MDC) generates multiple decodable bitstreams for a source to combat information loss. In this paper, multipath routing problem for two-description coded images is investigated for traditional and coded wireless networks without and with coding capability at intermediate nodes, respectively. Firstly, we formulate an interference-aware MDC multipath routing for traditional networks by employing a time-division link scheduling method to eliminate wireless interference, and ultimately obtain an optimal path selection corresponding to the minimum achievable distortion. Secondly, for coded networks, we evaluate practical wireless network coding (NC) in delivering descriptions of multiple unicast sessions. While NC increases maximum supporting flow rate of MDC descriptions in wireless networks, possible undecodability of NC mixed information is alleviated by MDC. To minimize achievable distortion, a proposed interference-and-coding-aware MDC multipath routing strikes a good balance between minimizing side effect of wireless interference avoidance and maximizing NC opportunity. Simulation results validate the effectiveness of the two proposed schemes.

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