摘要
考虑无线传感器网络WSN(Wireless Sensor Networks)节点采集数据的时间相关性,提出一种基于面积矢量的有损压缩算法AVA(area vector algorithm),并推导面积阈值的取值公式。该算法通过设定面积阈值为判定标准,利用面积矢量的可叠加性提高算法的精度和效率。实验结果表明,该算法数据压缩量大,计算速度快,算法复杂度低,且能有效地控制误差范围。
Considering the time-dependent characteristic of wireless sensor networks (WSN) node in data acquisition, we propose an area vector data-based lossy compression algorithm, and derive the valuing formula of area threshold. The algorithm sets the area threshold as the discriminant standard, and uses the superposition property of the area vector to improve its accuracy and efficiency. Experimental results show that this algorithm has big data compression ratio, fast computation speed and low complexity, it can effectively control the error scope.
出处
《计算机应用与软件》
CSCD
北大核心
2014年第7期109-111,163,共4页
Computer Applications and Software