基于压缩感知的WSN时延估计

2016 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC) Pub Date : 2016-09-01 DOI:10.1109/ICCEREC.2016.7814975

A. Hadi, I. Wahidah

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引用次数: 8

摘要

本文研究了在IEEE 802.15.4标准无线传感器网络(WSN)中使用压缩感知(CS)算法来减少测量的有效性。众所周知，在普通的WSN工作系统中，基站(Base Station, BS)从可用的节点上收集一些信息，而这个过程本身就消耗了来自每个节点的大量能量。我们还使用了一种现有的CS算法，即Basis Pursuit。在此基础上，对现有的几种变换方法进行组合，找出最佳变换方法组合。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Delay estimation using compressive sensing on WSN IEEE 802.15.4

In this paper we studied effectiveness in using Compressive Sensing (CS) algorithm in order to reduce measuring in IEEE 802.15.4 Standard Wireless Sensor Network (WSN). As well known, in common WSN work system, Base Station (BS) gather some information from available nodes, which the process itself consumes a lot of energy from each node. We also use an existing CS algorithm, the Basis Pursuit. Furthermore, we used and did several existing transformation methods combination to find the best method combination.

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2016 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC)

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