计算机工程与应用 ›› 2012, Vol. 48 ›› Issue (14): 27-32.

• 博士论坛 • 上一篇    下一篇

无线多媒体传感器网络图像通信性能分析

熊哲源1,樊晓平1,2,刘少强1,瞿志华1,3,衷路生4   

  1. 1.中南大学 信息科学与工程学院,长沙 410075
    2.湖南财政经济学院 网络化系统研究所,长沙 410205
    3.美国中佛罗里达大学 电气与计算机工程系,佛罗里达 奥兰多 32816-2450
    4.华东交通大学 电气与电子工程学院,南昌 330013
  • 出版日期:2012-05-11 发布日期:2012-05-14

Performance analysis for image communication in wireless multimedia sensor networks

XIONG Zheyuan1, FAN Xiaoping1,2, LIU Shaoqiang1, QU Zhihua1,3, ZHONG Lusheng4   

  1. 1.School of Information Science and Engineering, Central South University, Changsha 410075, China
    2.Laboratory of Networked Systems, Hunan University of Finance and Economics, Changsha 410205, China
    3.School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL 32816-2450, USA
    4.School of Electrical and Electronic Engineering, East China Jiaotong University, Nanchang 330013, China
  • Online:2012-05-11 Published:2012-05-14

摘要: 对无线视频传感器节点的图像通信活动进行研究,分析了其在资源受限的无线多媒体传感器网络中进行图像编码和传输的性能。对基于DCT和DWT的图像编码与传输的能量消耗和率失真进行建模分析。根据所建立的能量消耗与率失真模型,对有限的能量和传输带宽进行优化分配。根据监测场景的统计信息,调整编码中所使用的参数,以使得能量消耗最小化。仿真实验结果表明,所提出的方法在保证应用所需图像质量的情况,有效地降低了无线传感器节点的数据通信量和计算过程的能耗。

关键词: 无线多媒体传感器网络, 图像压缩, 图像传输, 离散余弦变换(DCT), 离散小波变换(DWT)

Abstract: The objective of this paper is to study the image communication behavior of a wireless video sensor, and analyze its performance under resource constrained wireless multimedia sensor networks. Energy consumption and rate distortion model of DCT and DWT based image compression and transmission is developed. Based on energy consumption and rate distortion model proposed, resource allocation is optimized with limited energy and bandwidth. Encoding coefficients are adapted according to the activity of monitoring scene, and then the energy consumption is minimized. Simulation results are conducted to show the performance of the work. The proposed scheme dramatically reduces image compression and transmission energy consumption under expected image distortion and transmission rate.

Key words: wireless multimedia sensor networks, image compression, image transmission, Discrete Cosine Transform(DCT), Discrete Wavelet Transform(DWT)