作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2008, Vol. 34 ›› Issue (11): 134-136. doi: 10.3969/j.issn.1000-3428.2008.11.048

• 网络与通信 • 上一篇    下一篇

基于分簇的无线传感器网络簇内数据融合算法

翟建设1,2,李 娜1,吴 青2,3   

  1. (1. 解放军理工大学气象学院,南京 211101;2. 国防科技大学信息系统与管理学院,长沙 410073; 3. 南京审计学院信息科学学院,南京 210029)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-06-05 发布日期:2008-06-05

Improved Algorithm of Clustering-based Data Fusion for WSN

ZHAI Jian-she1,2, LI Na1, WU Qing2,3   

  1. (1. Institute of Meteorology, PLA University of Science and Technology, Nanjing 211101; 2. Institute of Information System and Management, National University of Defense Technology, Changsha 410073; 3. School of Information and Science, Nanjing Audit University, Nanjing 210029)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-06-05 Published:2008-06-05

摘要: 根据节点剩余能量、通信消耗量和节点IP,设计无线传感器节点分簇算法,减少了无线传感器网络的数据传输总量。分析对以分簇为基础的簇内数据的融合算法误差成因,提出先进行簇内传感器测量修正、再进行簇内传感器数据融合的改进算法。通过TOSSIM仿真平台的实验,改进后的簇内数据融合算法测量误差明显减少。

关键词: 无线传感器网络, 数据融合, 分簇算法

Abstract: Considering remainder power, communication consuming, and IP address index of Wireless Sensor Network(WSN) nodes, this paper designs a clustering algorithm which reduces total transmission within a WSN. Aimed to better measurement of WSN, an improved data fusion algorithm is designed. The algorithm includes two major steps within a node-cluster: sensor calibration and data fusion. Simulation of the algorithm with TOSSIM shows good effect of the algorithm.

Key words: Wireless Sensor Network(WSN), data fusion, clustering algorithm

中图分类号: