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Green Communications and Computing Networks

Wu, Jinsong and Thompson, John and Zhang, Honggang and Prasad, RangaRao Venkatesha and Guo, Song (2016) Green Communications and Computing Networks. In: IEEE COMMUNICATIONS MAGAZINE, 54 (11). pp. 134-135.

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Official URL: http://dx.doi.org/10.1109/MCOM.2015.7321984

Abstract

Information and communication technologies (ICT) widely contribute to the global economy and society through the tremendous pace of innovations and new applications, rapidly changing the way that people live in almost every aspect. However, ICT can also have a profound impact on the global environment, which could be either positive or negative. This IEEE Series on Green Communications and Computing Networks is now established to discuss the concepts, principles, mechanisms, design, algorithms, analyses, and research challenges relevant to ICT and their environmental impacts, which could be referred to as “green ICT.” Here the term green is not only used to include energy or energy efficiency issues, but is also considered in the broader context of environmental impact and enablement of sustainability through communication and computing networks. A common misunderstanding is that green is simply equivalent to energy or energy efficiency issues. Actually, the field will explore more and more green topics relevant to issues other than energy or energy efficiency. Thus, this Series will not only address green communications, green computing, and relevant systems, but also investigate using communications, computing, and relevant technologies to achieve green objectives for a sustainable world.

Item Type: Editorials/Short Communications
Publication: IEEE COMMUNICATIONS MAGAZINE
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
Additional Information: Copy right for this article belongs to the IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
Department/Centre: Division of Interdisciplinary Sciences > Computational and Data Sciences
Date Deposited: 07 Jan 2017 09:43
Last Modified: 12 Oct 2018 07:40
URI: http://eprints.iisc.ac.in/id/eprint/55865

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