Dear Colleagues,

Currently, the traditional vision that we have about cities is changing. The new smart cities are currently immersed in a deep transformation seeking to create a sustainable environment where citizens are prioritized. In this sense, smart cities are a disruptive technology that is being applied not only to big cities, but also to small and rural communities. However, due to the huge number of technologies and services involved, this challenge is not so simple. Therefore, different services such as smart lighting, smart mobility, or smart waste, among others, shape the smart city picture. In this sense, these services should not be built independently. They must share and process information intelligently to generate more efficient services. In this scenario, smart sensors and actuators, as well as data analytics systems that use their information are the cornerstone on which modern smart cities services are being set up.

In this sense, in order to face the aforementioned challenges, we have proposed this Special Issue, titled “Sensors and Data Analytic Applications for Smart Cities”. Under this title, we expect high-quality unpublished papers focused on the design and use of new sensor and actuators architectures combined with data analytics applications for smart cities and smart communities, which include, but are not limited to, the following topics:

• Advanced measurement infrastructures for utility companies (energy, water, gas, etc.).
• Data analytics and machine learning applications for smart city.
• Urban assets management; smart street lighting, smart waste, etc.
• Mobility services; smart mobility, smart packing, smart traffic, etc.
• Citizen services; smart government, smart information platforms, e-health, etc.
• Smart home and smart buildings monitoring and management
• Environmental monitoring
• Smart city platforms; IoT, edge computing, cloud computing inter-operability
• Communication protocols, standard and cybersecurity in smart cities

Use cases and applications of smart city technologies over different communities: big cites, sustainable rural development or small communities.

Prof. Dr. Enrique Personal
Prof. Dr. Carlos León de Mora
Prof. Dr. Diego Francisco Larios
Guest Editors

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• Smart city sensors
• IoT 
• Edge computing 
• Smart mobility 
• Machine learning
• Data analytics