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Software-based, Intelligent Energy Optimization Methods for Green IoT

Abstract

Internet of Things (IoT) has the potential to support a more sustainable world by
digitalizing various daily-life tasks and industrial processes. On the other hand, the global
energy consumption of IoT devices is already gigantic. The energy consumption and the
e-waste of IoT devices will increase considerably since the number of devices will exceed
75 billion soon. Over the years, Green IoT (G-IoT) has emerged as a research area to
reduce the energy consumption of IoT devices and increase the lifespan of these devices.
Among many, we consider intermittent computing and software-defined IoT systems two
important research directions within the context of G-IoT. In this paper, we investigate
the intermittent computing techniques, categorize them, and present the open
challenges and research opportunities that can assist the research community. We
provide an overview of software-defined IoT systems, discuss their sustainability
objectives, and present techniques to achieve these objectives. As a position paper, we
focus on the opportunities and challenges rather than the results and findings.
ISBN: 978-82-14-07702-5
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Category

Report

Client

  • SINTEF AS / 102024558-1

Language

English

Author(s)

Affiliation

  • SINTEF Digital / Sustainable Communication Technologies
  • Italy

Year

2021

Publisher

SINTEF

Issue

2021:01423

ISBN

978-82-14-07702-5

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