Research on distributed JPEG2000 coding algorithm based on mobile agent

被引:0
|
作者
Liu Z.-X. [1 ]
Zhang J. [1 ]
Zhuo L. [1 ]
机构
[1] Signal and Information Processing Lab., Beijing University of Technology
关键词
Distributed coding; JPEG2000; Mobile agent; Post-compression rate-distortion optimazation (PCRDO) algorithm; Wireless sensor network (WSN);
D O I
10.3724/SP.J.1146.2009.01326
中图分类号
学科分类号
摘要
For the limited processing, storage and energy of network nodes in the wireless sensor network environment, a distributed JPEG2000 coding algorithm based on mobile agent is proposed. Multiple network nodes are utilized to the image distributed coding and mobile Agent mechanism is used to communicate among network nodes. The energy consumption of single node is reduced under the invariant coding performance of the image, thus prevents the system from paralysis caused by the energy depletion of single node and prolongs the life cycle of the system. Simulation results show that the proposed algorithm is better communication capability of network nodes while the quality of the image is invariant after the coding, and can achieve a good balance of the network energy consumption and prolong the network life cycle 3 times as before.
引用
收藏
页码:2236 / 2240
页数:4
相关论文
共 7 条
  • [1] Yick J., Mukherjee B., Ghosal D., Wireless sensor network survey, Computer Networks, 52, 12, pp. 2292-2330, (2008)
  • [2] Skodras A., Christopoulos C., Ebrhimi T., The JPEG 2000 still image compression standard, Signal Processing Magazine, 18, 5, pp. 36-58, (2001)
  • [3] Taubman D., High performance scalable image compression with EBCOT, IEEE Transactions on Image Processing, 9, 7, pp. 1158-1170, (2000)
  • [4] Xu Y.-Y., Qi H.-R., Mobile agent migration modeling and design for target tracking in wireless sensor networks, Ad hoc Networks, 6, 1, pp. 1-16, (2008)
  • [5] Wu H.-M., Abouzeid A.A., Energy efficient distributed JPEG2000 image compression in multihop wireless networks, Applications and Services in Wireless Networks, 28, 14, pp. 1658-1668, (2005)
  • [6] Halgamuge M.N., Guru S.M., Jennings A., Energy efficient cluster formation in wireless sensor networks, The 10th International Conference on Telecommunications, pp. 1571-1576, (2003)
  • [7] Yin G.-S., Yang G., Yang W., Et al., An energy-efficient routing algorithm for wireless sensor networks, Proceedings of the International Conference on Internet Computing in Science and Engineering, pp. 181-186, (2008)