Analysis of Time Series Prediction in Wireless Sensor Networks DPM

摘要：

　　Because of the battery replacement confined by physical conditions,the battery energy limit of the sensor nodes becomes one of the most critical constraints in the design of the entire sensor network,which directly determines the network life.The basic idea is to close sensor nodes within the device when it is not needed,and awaken them if necessary so that the sensor can reduce overall energy consumption.This paper compares the autoregressive model and moving average model in time series analysis.Simulation results show that after dynamic power adjustment,it can reduce energy consumption,extend the entire life cycle of wireless sensor network..

关键词： Wireless Sensor Network Dynamic Power Management Time Series Prediction

作者: ZHAO Jing ZHANG Jin ZHOU Chi-min WANG Cheng

作者单位: Electronic Information Engineering College,Chengdu University,Chengdu,China Department of Computer & Communication Engineering,Emei Campus, Southwest Jiaotong University, Emei Information technology center ,Sichuan Radio and TV University,Chengdu, China

会议类型: 国际会议

会议名称: 2013 3rd International Symposium on Chemical Engineering and Material Properties(2013第三届化学工程和材料性能国际研讨会)(ISCEMP 2013)

会议地点: 三亚

会议语种:英文

页码: 1599-1602

在线出版日期: 2013-06-22（万方平台首次上网日期，不代表论文的发表时间）