Green Internet of Things and Machine to Machine Protocol Architectures
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 May 2024 | Viewed by 270
Special Issue Editors
Interests: fintech; IoT; AI; green software; UX; UI
Interests: web engineering; model-driven engineering applied to mobile and multi device applications; model-driven engineering applied to Internet of Things
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sustainable IoT techniques and models are garnering more and more attention among the scientific community. The effects of global warming are becoming tangible and calls for urgent solutions also from the ICT sector. In fact, today this sector is responsible for 3% of global carbon emissions, a number that will triple by 2030. The IoT must be part of this shift towards a more sustainable approach in application development, since the huge spread of devices across the globe may cause a big waste of energy, then emitting a dangerous amount of CO2 in the atmosphere. Some scientific efforts have already been done, mainly including very interesting experiments, but we’re still scratching the surface of what will be the green IoT of the future. There’s a need for models, methodologies, and techniques to improve the sustainability of IoT applications in every phase, such as software and hardware design, development, testing, deploy, and production. Additionally, the manufacturing and disposal of IoT devices should be taken into account, as every device has an embodied carbon that requires to extend device life as much as possible. The aim of this Special Issue is to publish and spread the most groundbreaking research works in this area, including, but not limiting to, the following: IoT energy patterns, energy efficiency, green AI on IoT, carbon intensity driven use cases, carbon-aware workload management, carbon-aware M2M protocols, green software development, experiments, and assessment.
Dr. Roberto Vergallo
Dr. Luca Mainetti
Dr. Manco Luigi
Guest Editors
Manuscript Submission Information
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Keywords
- green software
- energy efficiency
- carbon-aware design
- green IoT
- green AI
