东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2009, Vol. 30 ›› Issue (1): 21-25.DOI: -

• 论著 • 上一篇    下一篇

基于无线传感器网络的森林火灾模型参数估计

吴成东;孟伟;纪鹏;陈飞;   

  1. 东北大学信息科学与工程学院;
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2009-01-15 发布日期:2013-06-22
  • 通讯作者: Wu, C.-D.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(60874103);;

Parameter estimation based on wireless sensor network for forest fire model

Wu, Cheng-Dong (1); Meng, Wei (1); Ji, Peng (1); Chen, Fei (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2009-01-15 Published:2013-06-22
  • Contact: Wu, C.-D.
  • About author:-
  • Supported by:
    -

RichHTML

0

PDF (PC)

814

摘要： 针对森林火灾形势复杂不利于搜救的特点,提出将无线传感器网络应用于森林火灾检测,建立准确的火灾模型,对森林火灾位置和强度进行估计预测.研究了利用无线传感器网络节点进行自适应采样数据的方法和建立高斯空间多峰火灾模型理论方法,并将最大期望算法(EM)和多分辨率搜索算法(MR)相结合,提出用EM-MR算法对火灾模型进行参数估计.通过仿真实验比较,结果表明该模型能较准确地描述森林火灾现场,EM-MR算法在保证估计精度的基础上降低了计算复杂度,证明了方法的有效性.

关键词: 无线传感器网络, 森林火灾, 高斯模型, 参数估计

Abstract: Since forest fire is too complicated to search, extinguish and rescue, the wireless sensor network (WSN) is applied to forest fire detection and an exact model is developed to estimate the location and intensity of fire. The approach to adaptive sampling by use of sensor nodes is discussed with a multi-peak Gaussian model proposed. Combining the expectation maximum (EM) with multiple resolution (MR) algorithm, an advanced EM-MR algorithm is proposed to estimate the parameters in the forest fire model. Based on the results of comparative simulation, this model can depict the relative real site of forest fire and provide the satisfactory estimation accuracy with computation complexity significantly reduced.

中图分类号: