Acta Metallurgica Sinica(English letters) ›› 2009, Vol. 16 ›› Issue (1): 22-26.doi: 10.1016/S1005-8885(08)60172-7

• Networks • 上一篇    下一篇

Dynamic clustering of distributed source coding in wireless sensor networks

刘冰   

  1. Information Security Department, Beijing Electronic Science and Technology Institute, Beijing 100070, China
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-02-26
  • 通讯作者: 刘冰

Dynamic clustering of distributed source coding in wireless sensor networks

LIU Bing   

  1. Information Security Department, Beijing Electronic Science and Technology Institute, Beijing 100070, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-02-26
  • Contact: LIU Bing

摘要:

There are correlations of data in adjacent sensor nodes in wireless sensor networks (WSNs). Distributed source coding (DSC) is an idea to improve the energy efficiency in WSNs by compressing the sensor data with correlations to others. When utilizing the DSC, the network architecture that, deciding which nodes to transmit the side information and which nodes to compress according to the correlations, influences the compression efficiency significantly. Comparing with former schemes that have no adaptations, a dynamic clustering scheme is presented in this article, with which the network is partitioned to clusters adaptive to the topology and the degree of correlations. The simulation indicates that the proposed scheme has higher efficiency than static clustering schemes.

关键词:

WSNs,;DSC,;clustering

Abstract:

There are correlations of data in adjacent sensor nodes in wireless sensor networks (WSNs). Distributed source coding (DSC) is an idea to improve the energy efficiency in WSNs by compressing the sensor data with correlations to others. When utilizing the DSC, the network architecture that, deciding which nodes to transmit the side information and which nodes to compress according to the correlations, influences the compression efficiency significantly. Comparing with former schemes that have no adaptations, a dynamic clustering scheme is presented in this article, with which the network is partitioned to clusters adaptive to the topology and the degree of correlations. The simulation indicates that the proposed scheme has higher efficiency than static clustering schemes.

Key words:

WSNs;DSC;clustering