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传感器节点通常由电池供电,充电和更换电池比较困难.如何有效地利用能源,减少损耗已经成为无线传感器网络的研究热点之一.传感器节点的能量大部分损耗在无线传输的过程中,因此,对数据压缩后再传输,能有效的减少传输的流量并提高节点的生存期.本文分析了传感数据的分布规律,指出当节点采集的数据符合慢变性质时,其分布将服从以0为中心的正态分布.依此提出了一种基于混合编码的传感器节点数据无损压缩算法,与传感器网络中的经典无损压缩算法相比,本算法以更少的性能开销获得了更高的压缩率.实验结果也证明了这一点.
Sensor nodes are usually powered by batteries, charging and replacement of batteries is more difficult.How to effectively use the energy to reduce losses has become one of the research hotspots of wireless sensor networks.Most of the sensor nodes lose energy in the process of wireless transmission, therefore, The data is compressed and then transmitted, which can effectively reduce the transmission traffic and increase the node lifetime.This paper analyzes the distribution of sensor data, and points out that when the data collected by nodes accords with the slowly changing nature, the distribution will be centered on 0 This paper proposes a lossless compression algorithm for sensor nodes based on hybrid coding, which achieves higher compression ratio with less performance overhead than the classical lossless compression algorithm in sensor networks. The experimental results also prove this point.