无线传感网中基于质心的高效坐标压缩算法

A coordinate compression algorithm based on centroid for wireless sensor networks

鉴于无线传感网中有限的通信带宽和计算资源,传感器节点传送压缩后的数据对于系统节能具有十分重要的意义.本文提出一种利用反正切函数构建的非线性坐标压缩策略来降低系统的数据传输量.得益于反正切函数的非线性特点,在质心附近压缩率低,离质心越远,压缩率越高.仿真结果显示,所提算法特别适应于在质心附近具有高频分量的信号类型.所提算法具有以下几个特点:1)采样间隔是非均匀的;2)可以在采样前实现压缩,类似于压缩感知;3)计算复杂度低,算法简单易实现,在实际应用中更具有优势.

Abstract： Since communication is often constrainted and the computational resources are limited in wireless sensor networks, it is more important for local sensors to send in compressed data. In this paper, a nonlinear coordinate compression rule is constructed based on arctangent function. Beneficial from the nonlinear feature of arctangent function, near the centroid the compression ratio is low and apart from the centroid the compression ratio becomes higher and higher. The proposed algorithm is more suitable for the signal that has a useful high frequency near centroid. And the proposed algorithm has the following features： the sampling interval is not even; the compression can be done before sampling, which is similar to a compression sensing; it has low computation amount, is simple and easy to implement in a real system.