2nd International ICST Conference on Communications and Networking in China

Research Article

Quality-Based Adaptive Image Transmission in Multihop Wireless Mesh Networks

  • @INPROCEEDINGS{10.1109/CHINACOM.2007.4469539,
        author={Wei Wang and Song Ci and Honggang Wang and Dongming Peng and Hamid Sharif},
        title={Quality-Based Adaptive Image Transmission in Multihop Wireless Mesh Networks},
        proceedings={2nd International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2008},
        month={3},
        keywords={Digital Image Processing Effective Capacity Multihop Wireless Mesh Network},
        doi={10.1109/CHINACOM.2007.4469539}
    }
    
  • Wei Wang
    Song Ci
    Honggang Wang
    Dongming Peng
    Hamid Sharif
    Year: 2008
    Quality-Based Adaptive Image Transmission in Multihop Wireless Mesh Networks
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2007.4469539
Wei Wang1,*, Song Ci1,*, Honggang Wang1,*, Dongming Peng1,*, Hamid Sharif1,*
  • 1: Department of Computer and Electronics Engineering, University of Nebraska-Lincoln, USA
*Contact email: wwang@unlnotes.unl.edu, sci@engr.unl.edu, hwang@unl.edu, dpeng@unl.edu, hsharif@unl.edu

Abstract

Most multirate image processing applications in multihop Wireless Mesh Network (WMN) are delay-sensitive but loss-tolerant. However, joint optimization of image quality and multihop Effective Capacity (EC) has been largely ignored in the current image transmission schemes in WMN. In this paper, we propose a new quality based cross-layer approach to adaptively optimize the image quality at the receiver side while satisfying the Quality of Service (QoS) requirements by exploring image position and value of magnitude (P-V) diversity. Specifically, the maximum multihop Effective Capacity (EC) is determined by QoS parameters and current link status of each path, and then the optimal source coding rate is selected by considering the position and value of magnitude information (P-V) of multirate image processing applications, which significantly increases expected image quality. Simulation results show that the proposed approach achieves better decoded image quality under the same QoS constraints.