Special Issue "Green Communications and Networking for IoT"
Deadline for manuscript submissions: closed (15 October 2018)
Prof. Dr. Francesca Cuomo
Dr. Konstantin Mikhaylov
The Internet of Things (IoT) is becoming a pervasive paradigm that will have a significant impact on future generations of applications in many fields, including (but not limited to) automation, computer science, telecommunications, e-health and industrial engineering. The impact of IoT is particularly evident in the increasing research and development activities in the field of industrial models and processes, as well as in the forthcoming next generation technologies in different areas like the wireless low power communications, autonomous system, 5G.
There are several challenges related to the planning, developing and managing of systems for IoT applications, and one of these challenges requires solutions that are able to make IoT a green and an energy-efficient paradigm. As a matter of fact, the exploitation of wireless sensors, autonomous systems (robots, vehicles, UAVs), Machine-to-Machine, industrial and medical IoT and other similar technologies will require on the one side enhanced communications and networking capabilities and on the other side their sustainability and power efficiency, especially for wide-scale deployments of IoT applications.
The research literature is working on the environmental impact and sustainability issues of information and communication technologies. Given that IoT may help in paving the way towards a general green “objective”, the analysis on how the IoT, its architectural models, its protocols and technologies and the resulting applications can be inherently “green” is a mandatory step in this direction. Since different tradeoffs arise when designing IoT networking and communication technologies while taking into account their energy efficiency, we look forward to receiving original reviews and research papers presenting new methodologies, metrics, performance, measurement, test-beds, and results in the field of green IoT communications and networking.
This call for papers includes the following key thematic areas:
- innovative green communications technologies and protocols suitably designed for the IoT;
- architectures, concepts, methods and tools for planning and configuring green IoT communication platforms and networking systems;
- green IoT applications and results of their practical deployment.
Dr. Luca Chiaraviglio
Dr. Konstantin Mikhaylov
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Low power communications
- Low-Power Local and Wide-Area Networks (e.g., LoRa, SigFox, 6LowPAN, NB-LTE, LTE-M)
- Energy-efficiency for wireless and mobile IoT
- Low energy data processing, analysis and storage for the IoT
- Sustainability issues in IoT sensors and communication platforms
- Resource and power management for the green IoT
- Methods and architectures for local edge and fog computing for IoT
- Optimization and tradeoff analyses of connectivity/scalability vs. energy
- Green IoT metrics, performance, measurement, test-beds and results
- Energy harvesting and wireless power transfer for green IoT
- Green IoT applications and services.