基于轻量级压缩的远程网络节能智能计量系统

Preti Kumari, Hari Prabhat Gupta, Tanima Dutta
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引用次数: 0

摘要

智能计量技术成功地在给定的时间限制内将消费者的电表读数传输给运营商。这种技术需要巨大的能量才能将大容量的数据传输到远距离。这张海报提出了一种智能计量系统,它消耗的能源少,传输电表读数的时间也少。我们首先提出了一个轻量级的压缩模型来压缩靠近消费者的边缘设备上的数据。然后,我们使用远程网络将压缩后的数据传输给运营商。最后,利用大尺寸解压缩模型,在算子处成功解压缩数据。初步实验结果表明,该轻量化压缩系统在延迟和能量方面具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A lightweight Compression-based Energy-Efficient Smart Metering System in Long-Range Network
Smart metering techniques successfully transmit the electric meter readings from consumers to the operator within the given time constraints. Such techniques require huge energy for transmitting the large-size of data to the long distance. This poster proposes a smart metering system that consumes low energy and less time to transmit electric meter readings successfully. We first propose a lightweight compression model to compress the data at Edge device that is near to the consumer. Next, we transmit the compressed data to the operator using Long-Range network. Finally, we successfully decompress the data at the operator by using a large-size decompression model. Preliminary experimental comparisons with a recent state-of-the-artwork show that the lightweight compression-based system gives better performance with respect to delay and energy.
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