Our research group has developed a platform, which allows offering different solutions to small and medium size cities.


This platform is based on a technological development able to integrate multiple techniques and to deploy them over Cloud Systems on a pay-as-you-go basis. This way, the cost of the maintenance will be proportional to the size of the city, which makes the product affordable to every village and city.

But, what does get deployed on this Cloud? Our system is able to integrate multiple sensors providing significant savings for the cities. For instance, a total management of the public street lighting is provided as well as information regarding the status of the city containers or social assistance services. The citizens will also be able to interact with the system by using the new technologies.

How do these sensors get integrated? The platform allows to register sensors from the management software, regardless of the nature or communication protocol of the sensor.

How to use sensors data? The system decouples the sensors protocol and adds its own information for each element to be treated in the same way.

What does the system do with the obtained data? Data are treated through different layers that provide optimal responses in an autonomous way or the system will ask an administrator attending to its configuration.

Is the system expandable? Any modification in the sensors layout in the city can simply be made by using the control panel, where each element can be managed individually.

Now, let’s see some of the examples developed with the platform over a model that simulates real sensors, which was exposed at Mobile World Congress as a collaboration with Vodafone and IBM.

The first one of the examples shows how particular homes get also connected to the platform and so they get offered certain services like medical tele-care for elderly people or people with health problems. The city, depending on the emergency seriousness, is able to regulate the traffic lights to facilitate the arrival of ambulances.

Another developed case study consists of integrating the citizens into the system in such a way that the citizen can generate suggestions or incidences. For example, in the case a container is broken, a picture can be sent with the description of the issue. Of course, a manager needs to validate any picture before sending the incidence to the corresponding operator, who will be informed about the issue to solve and the route to follow.

Also, different public lighting management scenarios have been developed. The system is autonomously able to distribute power adjusting itself to a pre-established budget in the appropriate way according to it. In the case any kind of incidence gets produced, the administrator will receive an alert indicating the problem and solution and so, it will only have to send the alert to the technician. Once it has been fixed, the technician can communicate with the system from the smartphone indicating the incidence has been solved.

Waste management also plays an important role in Smart Cities. Every operative truck gets reflected in the system, which has got information in real time about the status of the containers. The routes to be followed by the trucks will be managed in real time according to multiple parameters and the operator will be informed at every moment about the next container to be collected.



Cloud-IO: Cloud Computing Platform for Integration and Rapid Deployment Services for Wireless Sensor Networks.

Reference: IDI-20111471

Funding body: Center for Technological and Industrial Development. Ministry of Economy and Finance.(R & D of National Cooperation)

Collaborators: Ingeniería de Software Avanzado, S.A, Juan Llorens Comunicación, S.L.U. y Nebusens S.L.

Start date: 2011-09-01    End date: 2013-09-01


SOHA+C: Human-Agent Societies In Cloud Computing Environmetns

Reference: SA213U13

Funding body: Castilla y León Regional Government(Support Program for Research Projects)

Start date: 2013-01-01    End date: 2015-09-01



.Implementation of a pilot project of intelligent management of street lighting in the town of Fuente de San Esteban

Funding body: OA CIPSA Council of Salamanca

Collaborators: Fuente de San Esteban City Hall

Principal Research: Juan Manuel Corchado Rodríguez

Start date: 01-04-2014    End date: 01-10-2015


.Implementation of the experimental network communications support for the Smart Village pilot project in the town of Fuente de San Esteban.

Funding body: OA CIPSA Council of Salamanca

Collaborators: Fuente de San Esteban City Hall

Principal Research: Juan Manuel Corchado Rodríguez

Start date: 01-04-2014    End date: 01-10-2015


.Development of a Smartcity model, plus mounting and maintenance

Funding body: Vodafone S.A.U

Principal Research: Juan Manuel Corchado Rodríguez

Start date: 01-02-2015    End date: 01-05-2015





Posted by Juan M. Corchado

Juan Manuel Corchado (15 de Mayo de 1971, Salamanca, España) Catedrático en la Universidad de Salamanca. Ha sido Vicerrector de Investigación desde el 2013 hasta el 2017 y Director del Parque Científico de la Universidad de Salamanca. Elegido dos veces como Decano de la Facultad de Ciencias, es Doctor en Ciencias de la Computación por la Universidad de Salamanca y, además, es Doctor en Inteligencia Artificial por la University of the West of Scotland. Dirige el Grupo de Investigación Reconocido BISITE (Bioinformática, Sistemas Inteligentes y Tecnología Educativa), creado en el año 2000. Director del IOT Digital Innovation Hub y presidente del AIR Institute, J. M. Corchado también es Profesor Visitante en el Instituto Tecnológico de Osaka desde enero de 2015, Profesor visitante en la Universiti Malaysia Kelantan y Miembro del Advisory Group on Online Terrorist Propaganda of the European Counter Terrorism Centre (EUROPOL). J. M. Corchado ha sido presidente de la asociación IEEE Systems, Man and Cybernetics, y coordinador académico del Instituto Universitario de Investigación en Arte y Tecnología de la Animación de la Universidad de Salamanca e investigador en las Universidades de Paisley (UK), Vigo (Spain) y en el Plymouth Marine Laboratory (UK). En la actualidad compagina toda su actividad con la dirección de los programas de Máster en Seguridad, Animación Digital, Telefonía Movil, Dirección de Sistemas de Información, Internet de las Cosas, Social Media, Diseño e Impresión 3D, Blockchain, Z System, Industria 4.0, Gestión de Proyectos Ágiles y Smart Cities & Intelligent Buildings​, en la Universidad de Salamanca y su trabajo como editor jefe de las revistas ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal), OJCST (Oriental Journal of Computer Science and Technology) o Electronics MDPI (Computer Science & Engineering section). J. M. Corchado desarrolla principalmente trabajos en proyectos relacionados con Inteligencia Artificial, Machine Learning, Blockchain, IoT, Fog Computing, Edge Computing, Smart Cities, Smart Grids y Análisis de sentimiento.

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