• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2013, Vol. 35 ›› Issue (8): 41-45.

• 论文 • 上一篇    下一篇

基于二次灰色马尔科夫预测的WSN状态判定算法

林蔚,李波,韩丽红   

  1. (哈尔滨工程大学理学院,黑龙江 哈尔滨 150001)
  • 收稿日期:2011-12-02 修回日期:2012-06-05 出版日期:2013-08-25 发布日期:2013-08-25
  • 基金资助:

    中央高校基本科研业务费专项资金资助项目(HEVCF20111119);黑龙江省博士后基金支持项目(3236301158)

State determination algorithm of WSN
based on twice grey Markov forecasting        

LIN Wei,LI Bo,HAN Lihong   

  1. (College of Science,Harbin Engineering University,Harbin 150001,China)
  • Received:2011-12-02 Revised:2012-06-05 Online:2013-08-25 Published:2013-08-25

摘要:

为了节约无线传感器网络中节点的能源,对灰色预测模型进行改进,提出二次无偏灰色马尔科夫预测模型。该模型借鉴马尔科夫预测思想,根据状态判定准则及二次无偏灰色预测,对无线传感器网络的环境状态进行判定,并传输状态标识,从而降低网络节点的能量消耗。仿真结果表明,该模型不仅提高了预测精度,而且获得了有效的状态预测结果。

关键词: 无线传感器网络, 马尔科夫预测, 灰色预测, 状态判定

Abstract:

According to characteristics of wireless sensor networks, for the sake of saving energy of nodes in wireless sensor networks, a twiceunbiased GreyMarkov forecasting model is proposed. Based on Markov prediction, according to the state determination rule and twiceunbiased Gray prediction, the environment state of wireless sensor networks is determined, and the flag of the state is transferred, so that wireless sensor networks can reduce the energy consumption. Simulation results show that the model improves the prediction accuracy and achieves effective state prediction.

Key words: wireless sensor networks;Markov forecasting;gray prediction;state determination