关于无线远程数据传输功耗准确预测仿真

摘要

A power consumption prediction method in wireless remote data transmission based on GINI index classification is proposed.Firstly,the power consumption of wireless remote data transmission is collected and the collected data are processed.The GINI index classification method is used to segment the processed power consumption data based on different data transmission environments.Segmentation results are used to establish power consumption prediction model of wireless remote data transmission,so as to achieve the forecast of wireless remote data transmission power consumption.Simulation results show that the proposed method can effectively predict the power consumption of data transmission.The accuracy of prediction is high.The memory space is small.It has less impact on the quality of data transmission.It creates conditions for research and development in this field.%对无线远程数据传输功耗的准确预测,能够有效降低无线远程数据传输开销.对无线远程数据传输过程中的准确预测,需要对采集的数据进行处理,从而进一步对功耗数据进行分割,完成对数据传输功耗的预测.传统方法建立功率代价预测模型,然后利用多元线性同归工具对模型的重要参数进行拟合,但忽略了对功耗数据进行分割,导致预测精度偏低.提出基于GINI指数分类的无线远程数据传输功耗预测方法.首先对无线远程数据传输功耗进行采集,对采集的数据进行处理,利用GINI指数分类方法以不同的数据传输环境为依据,对处理后的功耗数据进行分割,利用分割结果建立无线远程数据传输功耗预测模型,从而实现无线远程数据传输功耗预测.结果表明,所提方法进行数据传输功耗预测,预测的准确度较高,占用的内存空间较小,对数据传输的质量影响较小,为该领域的研究发展创造条件.