计算机工程与科学2013，Vol.35Issue(8)：41-45,5.DOI:10.3969/j.issn.1007-130X.2013.08.008
基于二次灰色马尔科夫预测的WSN状态判定算法
State determination algorithm of WSN based on twice grey Markov forecasting
摘要
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.关键词
无线传感器网络/马尔科夫预测/灰色预测/状态判定Key words
wireless sensor networks/ Markov forecasting/ gray prediction/ state determination分类
信息技术与安全科学引用本文复制引用
林蔚,李波,韩丽红..基于二次灰色马尔科夫预测的WSN状态判定算法[J].计算机工程与科学,2013,35(8):41-45,5.基金项目
中央高校基本科研业务费专项资金资助项目(HEVCF20111119) （HEVCF20111119）
黑龙江省博士后基金支持项目(3236301158) （3236301158）
