摘要
无线传感器网络的应用一直受能量的制约,因此如何降低系统能耗始终是无线传感器网络的核心问题.研究了一类基于ZigBee的缓变数据监测系统中的数据处理问题,提出了一种改进的数据精简算法.该方法考虑了测量误差,通过综合数字滤波法及改进的数据精简算法,降低了数据通信量,延长无线传感器网络的生命周期.采用三次样条数据插值,对温度数据进行插值,实验结果表明通过该方法得到的温度曲线较为平滑,该方法具有可行性、实用性和推广价值.
The energy is the most constraint of the applications of wireless sensor network（WSN）. Reducing energy consumption is a key problem in WSN. A kind of processing problem of slow-changing data monitoring system was researched. An improved data reduction algorithm was proposed and the measurement error was considered. The data traffics were reduced by using the integrated digital filter and the above algorithm, so the lifetime of WSN was prolonged. Eventually, three spline data interpolation was adopted and the experiment results show that the temperature curve is much smoother through this method. The approach is proven feasible, practical and worthy of using abroad.
出处
《微电子学与计算机》
CSCD
北大核心
2012年第8期189-192,共4页
Microelectronics & Computer
基金
江苏省自然科学基金项目(BK2011564)
关键词
无线传感器网络
综合数字滤波
数据精简算法
数据插值
wireless sensor network
integrated digital filter
data reduction algorithm
data interpolation
