中国邮电高校学报(英文) ›› 2016, Vol. 23 ›› Issue (1): 22-30.doi: DOI: 10.1016/S1005-8885(16)60004-3

• Networks • 上一篇    下一篇

Image compression scheme based on PCA for wireless multimedia sensor networks

周威1,孙力娟1,郭剑1,刘林峰2   

  1. 1. 南京邮电大学
    2. 南京邮电大学计算机学院
  • 收稿日期:2015-08-11 修回日期:2015-11-22 出版日期:2016-02-26 发布日期:2016-02-28
  • 通讯作者: 孙力娟 E-mail:sunlj@njupt.edu.cn
  • 基金资助:

    自然科学基金;中国博士后科学基金;江苏省博士后基金

Image compression scheme based on PCA for wireless multimedia sensor networks

  • Received:2015-08-11 Revised:2015-11-22 Online:2016-02-26 Published:2016-02-28
  • Contact: Li-juan SUN E-mail:sunlj@njupt.edu.cn
  • Supported by:

    ;China Postdoctoral Science Foundation;postdoctoral fund of Jiangsu Province

摘要:

In combination of the characteristic of the network architecture of wireless multimedia sensor networks (WMSNs), a distributed multi-node cooperative network (DMCN) model is designed by using the concept of in-network processing to improve their energy, memory and computational power. To balance the energy consumption of the network, according to roles division, camera nodes and common nodes are cooperated to accomplish the workload of image acquisition, compression and transmission. Camera nodes gather images and send blocking images to the common nodes in cluster. Common nodes adaptively compress the partitioned images by using a noise-tolerant distributed image compression (NDIC) algorithm based on principal component analysis (PCA) called NDIC-PCA algorithm and send the compressed data to the cluster head node. Then, the cluster head node sends the compressed image data to the station. Simulation results demonstrate that, DCNM can effectively balance the energy consumption of network and largely extend the network lifecycle. In addition, compared with previous algorithms, the proposed NDIC-PCA algorithm achieves higher peak signal to noise ratio without decreasing compression ratio.

关键词:

node collaboration

Abstract:

In combination of the characteristic of the network architecture of wireless multimedia sensor networks (WMSNs), a distributed multi-node cooperative network model called DMCN is designed by using the concept of in-network processing to improve their energy, memory and computational power. To balance the energy consumption of the network, according to roles division, camera nodes and common nodes are cooperated to accomplish the workload of image acquisition, compression and transmission. Camera nodes gather images and send blocking images to the common nodes in cluster. Common nodes adaptively compress the partitioned images by using a noise-tolerant distributed image compression algorithm based on principal component analysis (PCA) called NDIC-PCA and send the compressed data to the cluster head node. Then, the cluster head node sends the compressed image data to the station. Simulation results demonstrate that, DCNM can effectively balance the energy consumption of network and largely extend the network lifecycle. In addition, compared with previous algorithms, the proposed NDIC-PCA algorithm achieves higher peak signal to noise ratio without decreasing compression ratio.

Key words:

node collaboration