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IoT Technologies for Smart Cities
Special Issue Information
Dear Colleagues,
Nowadays, we are driving a revolution, pushing new technologies into our cities in order to make them more sustainable and smarter. This innovative view is also known as “smart city”, defined as “an effective integration of physical, digital and human systems in the built environment to deliver a sustainable, prosperous and inclusive future for its citizens” by the British Standards Institution. Thus, rising information and communication technologies, with particular emphasis on Internet of things (IoT) technologies and machine learning solutions, play a crucial role in this transformation, opening up new opportunities to improve the quality of life, and the efficiency of urban operation and services. In this view, different domains, including health, energy, transportation, industry, agriculture, and so on, will change radically.
In this Special Section, we are particularly interested in innovative solutions where IoT technologies are adopted in order to foster this radical change. Topics of interest include, but are not limited to, the following:
- Scalable distributed software solutions for smart city management
- Machine learning techniques for smart cities and smart grids
- Machine learning solutions for edge embedded devices in smart cities applications
- Big data techniques to handle and process huge smart cities datasets
- Programming models and tools to develop and support services in smart cities
- Cyber-security in applications smart cities
- IoT application for energy efficiency and smart energy systems
Dr. Edoardo Patti
Dr. Lorenzo Bottaccioli
Guest Editors
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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.
Keywords
- Internet of things
- Cyber–physical systems
- Distributed software infrastructure
- Scalable systems
- Machine learning
- Big data
- Edge embedded devices
- Edge computing
- Smart energy systems
- Energy efficiency
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