Sensors journal Special Issue on "Energy-Efficient Communication Networks and Systems: 2nd Edition"
Submission deadline (extended): December 20, 2025
Special Issue web link: https://www.mdpi.com/journal/sensors/special_issues/T01878J9S0

Sensors journal:
ISSN 1424-8220
Current JCR Impact factor (IF): 3.5 (5-year impact factor: 3.7)
CiteScore (Scopus data): 8.2
Indexing and archiving: Web of Science (SCIE, Current Contents), Scopus, Inspec, J-Gate, DBLP, NLM, DOAJ, EBSCO, CABI, CNKI, DOAJ, Embase Ei Compendex, ProQuest, Google Scholar, etc.

Aims and Scope:
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During the past decade, research and the industrial community have started to invest considerable efforts in improving the energy efficiency of communication networks and systems due to energetic, economic, and environmental reasons. The energetic reasons are reflected in the number of studies according to which Information and Communication Technologies (ICT) infrastructure and computer systems consume significant amounts of the world's electricity consumption. The economic reasons are related to the expectations that power consumed by communication networks and systems will increase due to the necessity of satisfying constantly increasing demand for new applications, data volume transfer, and the number of user devices, which will additionally increase the energy bills of service providers. Finally, the environmental reasons are dedicated to the non-negligible contribution of the overall communication networks and systems exploitation lifecycle to the global carbon footprint, which further contributes to global warming. All indicated reasons mandate the necessity for continuation in attempts that will ensure further improvements in the energy efficiency of communication networks and systems on all layers of the Open Systems Interconnection (OSI) model.
Therefore, this Special Issue aims to serve as a platform for researchers and visionaries from academia, research labs, and industry to present novelties related to energy efficiency improvements of communication networks and computing systems. Sharing ideas, views, results, and experiences dedicated to improving the energy efficiency of communication networks and systems is what this Special Issue is intended to be about. Anything from theoretical and experimental achievements to innovative design and management approaches, prototyping efforts, and case studies are in the focus of this Special Issue. This Special Issue aims to open new research ways toward more energy-efficient communication networks and computing systems. The Special Issue accepts original research and review papers dedicated to the topic of improving the energy efficiency of communication networks and systems.

The broad range of topics of interest to this Special Issue includes, but is not limited to, the following:
• Implementation of artificial intelligence (AI) for improving energy efficiency of communication networks and systems
• Techniques for improving the energy efficiency of wireless communication networks
• Approaches for improving the energy efficiency of wireline communication networks
• Solutions for reducing the power consumption of data centers
• Optimization of energy consumption in optical networks
• Techniques for improving the energy efficiency of fiber-wireless (FiWi) networks
• Security and energy-efficiency trade-offs in communication networks
• Green communication technologies for smart cities
• Approaches based on cloud and edge computing for improving network energy efficiency
• Network function virtualization (NFV) concepts for optimizing the energy efficiency of communication networks
• Green future Internet and energy-efficient software-defined networking concepts
• Energy-efficient Internet of Things/Everything (IoT/E) networks
• Solutions for improving the energy efficiency of sensor networks
• Improving energy efficiency with and within Unmanned Aerial Vehicle (UAV) - based networks
• Applications of green networking technologies and principles for peer-to-peer and ad-hoc networks
• Energy-efficient underwater communications
• Energy-efficient satellite communications
• Energy-efficiency improvements of low-power wireless networks and devices
• Techniques for optimizing the energy efficiency of user devices
• Energy-efficient public health solutions
• Green network design and energy-efficient smart grids
• Energy-efficient vehicle communications
• Energy-efficient automation and industrial communications
• Energy-efficient critical communications
• Computer and software engineering for improving energy efficiency
• Techniques for ensuring Quality of Service (QoS) in energy-efficient communication networks
• Green mobile applications
• Green cognitive radio networks
• Communication solutions for green buildings
• Power consumption and cost models of networking infrastructure
• Power consumption measurements and energy profiling of communication networks
• Smart metering and data analyses for improving energy efficiency
• Big data analyses for meeting green challenges
• Hardware and architectural enhancements for reducing the power consumption of communication network devices and systems
• Energy-efficient management of communication networks
• Cross-layer optimizations for reducing the energy consumption of communication networks
• Energy-efficient algorithms, protocols, and protocol extensions
• Energy-efficient transmission technologies
• Energy cost models for network operators
• Renewable energy sources for the power supply of communication networks
• Antenna design and transmission technologies for reducing energy consumption
• Intelligent reflective surfaces for improving energy efficiency in wireless networks
• Energy harvesting solutions and prototypes in communication networks
• Cooperative communication systems for improving energy efficiency
• Field trials for ensuring sustainable networking and computing
• Standardization and regulation policy for improving the energy efficiency of communication networks
• Performance metrics for evaluation of energy efficiency in communication networks
• Green solutions for the reduction of electromagnetic pollution
• Solutions for power-efficient air-conditioning and cooling of communication systems and devices
• Blockchain approaches for improving energy management of communication networks

Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging into the website:
https://login.mdpi.com/login?_target_path=https%3A%2F%2Fsusy.mdpi.com%2Fuser%2Flogin%3FauthAll%3Dtrue
Once you are registered, authors should go to the “Submit manuscript“ submission form and select “Section: Communications”, “Special issue: Energy-efficient Communication Networks and Systems”.

Manuscript preparation and publication
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere. All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for the submission of manuscripts is available on the Instructions for Authors page:
https://www.mdpi.com/journal/sensors/instructions
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.
Sensors is an international peer-reviewed open-access monthly journal published by MDPI. The Article Processing Charge (APC) for publication in this open-access journal is 2600 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.

About Sensors journal
Sensors (ISSN 1424-8220) is the leading open-access journal on the science and technology of sensors, launched 20 years ago. More than 34,600 articles have been cited in the Sensors journal 10 times or more. Sensors journal current impact factor is 3.5 (5-year impact factor: 3.7). The CiteScore (Scopus data) of Sensors is 8.2. Sensors support fast review and publication with an average time for submission to the first decision equal to 19.7 days.
Sensors journal is indexed in more than 20 different scientific databases, and more information about the indexing and abstracting of Sensors journal can be found on:
http://www.mdpi.com/journal/sensors/indexing

Special issue guest editor
Josip Lorincz, Ph. D., Faculty of electrical engineering, mechanical engineering and naval architecture (FESB), University of Split, Croatia
E-mail: josip.lorincz@fesb.hr