基于认知的绿色通信技术框架，以减少系统中CO2的排放

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Pub Date : 2021-09-03 DOI:10.1109/icrito51393.2021.9596416

Preeti Verma, Sanmukh Kaur

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引用次数: 1

摘要

最近几年，由于便携式媒体传输行业呈指数级增长，因此需要对支持基于认知的无经验通信技术的框架进行观察和模拟，以减少系统内碳酸气体的排放。这项工作的完成是为了减少没有经验的温室气体效应，因为这些气体对环境是严重有害的，因为它们导致与变暖相关的气候变化，从而使自然界不平衡。

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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A Framework on Cognitive-Based Green Communication Technology to Reduce the Emission of CO2 in the System

Over the most recent couple of years due to the exponential expansion of the portable media transmission industry, the look and simulation for a framework supported cognitive-based inexperienced communication technology to scale back the emission of carbonic acid gas within the system has been needed. This work is completed to decrease the inexperienced house gas effects as these gasses are seriously harmful for the setting as they cause warming associated so making an unbalance in nature.

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来源期刊

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)

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