Data Extraction from Wireless Sensor Networks Using Fountain Codes

A. Oka, L. Lampe
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引用次数: 3

Abstract

We propose a universal and energy efficient method of data extraction from a wireless sensor network (WSN), based on digital fountain codes (DFCs) and joint-source channel decoding. We consider a WSN that aims to recreate a binary field at a distant fusion center (FC). Our method (i) exploits the feedback channel from the FC to the WSN to implement a distributed 'rate-less' DFC that automatically tunes the number of transmissions to the channel capacity, and (ii) treats the spatiotemporal dependencies in the natural field as an outer code, and jointly decodes this concatenation at the FC. For moderate distortion the proposed procedure achieves an energy efficiency close to the rate-distortion limit, while retaining the important property of having a computationally simple encoder invariant to changes in the statistical model of the source or the channel.
基于喷泉码的无线传感器网络数据提取
提出了一种基于数字喷泉码(dfc)和联合源信道解码的通用节能无线传感器网络(WSN)数据提取方法。我们考虑一个WSN,其目的是在一个遥远的融合中心(FC)重建一个二元场。我们的方法(i)利用从FC到WSN的反馈信道来实现一个分布式的“无速率”DFC,该DFC自动调整传输数量到信道容量,并且(ii)将自然场中的时空依赖关系视为外部代码,并在FC共同解码该连接。对于适度失真,所提出的程序实现了接近率失真极限的能量效率,同时保留了具有计算简单的编码器对源或信道统计模型变化不变性的重要特性。
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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