| 无线传感器网络动态功率管理方法 |
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| 引用本文： | 田丰民,陈向东,张传武.无线传感器网络动态功率管理方法[J].传感器与微系统,2005,24(11):33-35. |
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| 作者姓名： | 田丰民 陈向东 张传武 |
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| 作者单位： | 1. 西南交通大学,计算机与通信工程学院,四川,成都,610031
2. 西南民族大学,电气信息工程学院,四川,成都,610041 |
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| 摘 要： | 为了最大限度节约能源的使用,使无线传感器网络使用寿命延长,提出了利用小波和Kalm an滤波的一种动态功率管理方法。该方法通过使用小波、Kalm an和AR对下一事件到达时间的预测来决定传感器进入何种的功率状态,使得在尽可能低的事件丢失率下减少传感器总体能量损耗。仿真实验结果表明:这种方法是有效的。
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| 关 键 词： | 网络 动态功率管理 无线传感器 小波 |
| 文章编号： | 1000-9787(2005)11-0033-03 |
| 收稿时间： | 05 26 2005 12:00AM |
| 修稿时间： | 2005年5月26日 |
Dynamic power management in wireless sensor network |
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| TIAN Feng-min,CHEN Xiang-dong,ZHANG Chuan-wu.Dynamic power management in wireless sensor network[J].Transducer and Microsystem Technology,2005,24(11):33-35. |
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| Authors: | TIAN Feng-min CHEN Xiang-dong ZHANG Chuan-wu |
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| Affiliation: | 1. Seh of Computer and Comm Engin, Southwest Jiaotong University, Chengdu 610031, China; 2. Coil of Elec Info Engin, Southwest University for Nationalities, Chengdu 610041, China |
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| Abstract: | An effective method of dynamic power management, based on wavelet and Kalman analysis,is proposed to extend life of wireless sensor network by making economical use of energy. Wavelet, Kalman filter and AR are used to forecast the time when next event will happen, and the state in which wireless sensor should lie is decided based on the time. Total energy consumption is decreased under fraction of event missed as low as posible. Experimental results show the method is effective. |
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| Keywords: | network dynamic power management(DPM) wireless sensor wavelet |
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