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针对能量效率问题,提出了预测编码精简算法.由于信源数据之间存在时间相关性,本算法对信源数据进行有效估计,去除信源数据之间的冗余信息,实现了信源数据的压缩.算法可以根据工程需要,设定预测阶数及编码结果的比特数,选取线性的量化方法,使算法实现简单.选取两个传感器节点为实验对象,分别下载原始程序和预测编码精简算法的程序,实验结果表明,虽然数据预处理及预测编码精简算法引入少量的空间和时间开销,但是在保证数据精度的前提下,预测编码精简算法达到了节省能量的目的.
Aiming at the problem of energy efficiency, this paper proposes a predictive coding and streamlining algorithm.Because of the time correlation between the source data, this algorithm effectively estimates the source data and removes the redundant information between the source data to achieve the source data Compression algorithm.According to engineering needs, the algorithm can set the prediction order and the number of bits of the encoding result.Selecting the linear quantization method, the algorithm is simple.Selecting two sensor nodes as the experimental object, we download the original program and the predictive coding algorithm The experimental results show that although the data preprocessing and predictive coding reduce the introduction of a small amount of space and time overhead algorithms, but to ensure the accuracy of the data under the premise of predictive coding to streamline the algorithm to achieve the purpose of saving energy.