Energy efficient JPEG 2000 image transmission over wireless sensor networks

We propose an energy efficient JPEG 2000 image transmission system over point-to-point wireless sensor networks. The objective is to minimize the overall processing and transmission energy consumption with the expected end-to-end QoS guarantee, which is achieved by jointly adjusting the source coding schemes, channel coding rates, and transmitter power levels in an optimal way. The advantages of the proposed system lie in three aspects: adaptivity, optimality, and low complexity. Based on the characteristics of the image content, the estimated channel conditions, and the distortion constraint, the proposed low-complexity joint source channel coding and power control algorithm adjusts the coding and transmission strategies adaptively, which can approximate the optimal solution with a tight bound.

[1]  Qian Zhang,et al.  Power-minimized bit allocation for video communication over wireless channels , 2002, IEEE Trans. Circuits Syst. Video Technol..

[2]  Farid N. Najm,et al.  Statistical Estimation of the Switching Activity in Digital Circuitsy , 1994, 31st Design Automation Conference.

[3]  Michel Barlaud,et al.  Image coding using wavelet transform , 1992, IEEE Trans. Image Process..

[4]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[5]  Homer H. Chen,et al.  Error-resilient coding in JPEG-2000 and MPEG-4 , 2000, IEEE Journal on Selected Areas in Communications.

[6]  Andrew J. Viterbi,et al.  Principles of Digital Communication and Coding , 1979 .

[7]  David S. Taubman,et al.  High performance scalable image compression with EBCOT , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[8]  Douglas L. Jones,et al.  Efficient wireless image transmission under a total power constraint , 1998, 1998 IEEE Second Workshop on Multimedia Signal Processing (Cat. No.98EX175).

[9]  Aggelos K. Katsaggelos,et al.  Joint source coding and transmission power management for energy efficient wireless video communications , 2002, IEEE Trans. Circuits Syst. Video Technol..

[10]  Naresh R. Shanbhag,et al.  Low-power channel coding via dynamic reconfiguration , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[11]  Joachim Hagenauer,et al.  Rate-compatible punctured convolutional codes (RCPC codes) and their applications , 1988, IEEE Trans. Commun..

[12]  Touradj Ebrahimi,et al.  Christopoulos: Thc Jpeg2000 Still Image Coding System: an Overview the Jpeg2000 Still Image Coding System: an Overview , 2022 .

[13]  Teresa H. Meng,et al.  Low-power wireless video systems , 1998, IEEE Commun. Mag..

[14]  Van Nostrand,et al.  Error Bounds for Convolutional Codes and an Asymptotically Optimum Decoding Algorithm , 1967 .

[15]  R. Blahut.  Theory and practice of error control codes , 1983 .

[16]  K. J. Ray Liu,et al.  Scalable cross-layer rate allocation for image transmission over heterogeneous wireless networks , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.