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