Sistemas IoT Conscientes de la Sostenibilidad y Dirigidos por Comunidades Sociales (SIoTCom)
Sustainability-Aware IoT Systems Driven by Social Communities (SIoTCoM) aims to identify and address the challenges that means to include Collective Intelligence characteristics into IoT systems so that collective innovation can take place in citizen communities as a way of addressing situations so that require collaborative decision making supported by the IoT systems.
Description
The main goals of SIoTCom are:
O1. Identify and address the challenges to redesign IoT system so that Collective Intelligence is embedded so that collective innovation can take place in citizen communities as a way of addressing situations so that require collaborative decision making supported by the IoT systems.
O2. Identify and address the challenges to build (once designed) IoT system so that Collective Intelligence is embedded so that collective innovation can take place in citizen communities as a way of addressing situations so that require collaborative decision making supported by the IoT systems. One of the known challenges is making a new IoT system efficient from an energy point of view. Otherwise, new IoT system will solve a problem and create a new one.
O3. Identify key issues and practices in the development of a real network of sensors, actuators and human interfaces, suitable for the experimental support needed in this project, efficient from an energy point of view
O4. Identify key issues and practices in the construction of sustainable and dynamic IoT software architectures being the sustainable social needs and the communities part of their components.
O5. Obtain conclusions from the validation and evaluation of the distributed hardware architecture that performs computing in the edge, which could allow to obtain analytics and forecasting as a piece of collective intelligence. These analyses could provide the advantages and disadvantages of shifting the computational load to a global resource (cloud, central server) or to the edge of the IoT system.
O6. Obtain conclusions from the assessment of an energy-sustainable blockchain infrastructure that works in a synchronized manner with the other parts of the software architecture as a way to secure information transfers and keep a distributed ledger of the ones that take place.
O7. Obtain conclusions from the viability assessment, effectiveness and efficiency of automatic software deployment system in the edge and fog computing nodes. The functionality and time of deployment of the new software versions will consider the information obtained from the collective intelligence. 10. Identify the key practices of experiments design, to confirm or reject (1) the benefits of incorporating collective intelligence in a IoT system, (2) to identify advantages and disadvantages of the system deployed in relation to SDGs, (3)to qualify with metrics of general interest the behaviour of the alternatives developed for continuous deployment.
Project details
Code: PID2020-118969RB-I00
Research areas: Services and Software Technologies
Status: In course.
Project leader: Juan Garbajosa Sopeña
Members: Norberto Cañas de Paz, Jessica Díaz Fernández, Juan Garbajosa Sopeña, Javier García Martín, Margarita Martínez Núñez, Jenifer Pérez Benedí, Agustín Yagüe Panadero.
Working Team: Jose Carlos Gamazo Real, Daniel López Fernández, Jesús Rodríguez Molina..
Start date:01-01-2022
End date:31-12-2024
Funding: Ministry of Science and Innovation (MICINN)
- Recogidos con fines determinados, explícitos y legítimos, y no serán
tratados ulteriormente de manera incompatible con dichos fines. - Adecuados, pertinentes y limitados a lo necesario en relación con los
fines para los que son tratados. - Exactos y, si fuera necesario, actualizados, adoptando todas las medidas
razonables para que se supriman o rectifiquen sin dilación los datos
personales que sean inexactos con respecto a los fines para los que se
tratan.