Distributed Intelligence Technologies for Smart Cities of the Future

Dear Colleagues,

Advanced technologies such as the Internet of Things (IoT), machine learning (ML) and mobile edge computing (MEC) are expected to play a key role in enabling the ubiquitous intelligent solutions demanded by the upcoming intelligent society in 2030. In particular, the fusion of IoT technology and distributed learning (DL) frameworks with the support of edge computing technology in the distributed edge intelligence paradigm is considered a key pillar for enabling large-scale intelligent solutions in various environments such as smart cities. Distributed edge intelligence enables the development of smart city platforms despite their inherent complexity, with numerous strategically placed sensors and devices collecting data and using it for decision-making. In particular, distributed intelligence techniques can be used in smart cities to create more efficient, responsive and sustainable urban environments. Various applications such as intelligent traffic management, smart grid and energy consumption management, surveillance systems, emergency response systems and smart building management are some of the key applications that can utilize distributed intelligence solutions in smart city environments. Various distributed learning techniques such as federated learning (FL), multi-agent reinforcement learning (MARL), DL with model splitting techniques, DL with meta-learning and DL with swarm learning can be explored for efficient learning solutions through the edge intelligence paradigm.

This Special Issue of Electronics is devoted to providing a high-quality platform for sharing new findings in this area. This Special Issue seeks authors who wish to present novel technologies and their latest achievements in advanced distributed intelligence technologies designed for smart city environments.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

• Federated learning for smart cities;
• Mobile edge computing for smart cities;
• Internet of Things (IoT) advances for smart cities;
• Distributed AI and smart cities;
• Fusion of 6G, ML and MEC for next-generation cities;
• Intelligent Internet of Vehicles (IoV);
• Smart metering techniques.  

Dr. Swapnil Sadashiv Shinde
Dr. Saira Bano
Dr. Daniele Tarchi
Guest Editors

Manuscript Submission Information

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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. Electronics 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 2400 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.

• distributed intelligence
• machine learning
• Internet of Things
• mobile edge computing
• smart cities