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A Data Compression Algorithm Based on Adaptive Huffman Code for Wireless Sensor Networks

机译:无线传感器网络中基于自适应霍夫曼码的数据压缩算法

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In order to reduce energy consumption of Wireless Sensor Network nodes, a novel compression algorithm based on the principle of Adaptive Huffman Code is proposed in the paper for the collected temperature data in real environment by the sensor nodes are continuous and slow changing. The algorithm is simple, easy to implement, and suitable for application in wireless sensor networks. To some extent, it can achieve loss less compression with required accuracy by making the full use of the difference value of the data. At the end of the paper an experiment is carried out and the result shows the algorithm is practical.
机译:为了减少无线传感器网络节点的能量消耗,针对传感器节点连续不断且变化缓慢的真实环境下的温度数据,提出了一种基于自适应霍夫曼编码原理的压缩算法。该算法简单,易于实现,适合应用于无线传感器网络。在某种程度上,它可以通过充分利用数据的差值来以所需的精度实现无损压缩。最后,进行了实验,结果表明该算法是可行的。

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