RT journal article
T1 Atmosphere: Context and situational-aware collaborative IoT architecture for edge-fog-cloud computing
A1 Ortiz Bellot, Guadalupe
A1 Zouai, Meftah
A1 Kazar, Okba
A1 García de Prado Fontela, Alfonso
A1 Boubeta Puig, Juan
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
A2 Ingeniería Informática
K1 Collaborative Internet of Things
K1 Edge computing
K1 Smart data
K1 Context and situational awareness
K1 Agent-oriented software
K1 Complex event processing
AB The Internet of Things (IoT) has grown significantly in popularity, accompanied by increased capacity and lowercost of communications, and overwhelming development of technologies. At the same time, big data and realtimedata analysis have taken on great importance and have been accompanied by unprecedented interest insharing data among citizens, public administrations and other organisms, giving rise to what is known as theCollaborative Internet of Things. This growth in data and infrastructure must be accompanied by a softwarearchitecture that allows its exploitation. Although there are various proposals focused on the exploitation of theIoT at edge, fog and/or cloud levels, it is not easy to find a software solution that exploits the three tiers together,taking maximum advantage not only of the analysis of contextual and situational data at each tier, but also oftwo-way communications between adjacent ones. In this paper, we propose an architecture that solves thesedeficiencies by proposing novel technologies which are appropriate for managing the resources of each tier: edge,fog and cloud. In addition, the fact that two-way communications along the three tiers of the architecture isallowed considerably enriches the contextual and situational information in each layer, and substantially assistsdecision making in real time. The paper illustrates the proposed software architecture through a case study ofrespiratory disease surveillance in hospitals. As a result, the proposed architecture permits efficient communicationsbetween the different tiers responding to the needs of these types of IoT scenarios.
PB ELSEVIER
SN 0920-5489
YR 2021
FD 2021-06
LK http://hdl.handle.net/10498/25193
UL http://hdl.handle.net/10498/25193
LA eng
NO This work was partially supported by the Spanish Ministry of Scienceand Innovation and the European Regional Development Fund (ERDF)under project FAME [RTI2018-093608-B-C33] and excellence networkRCIS [RED2018-102654-T]. We also thank Carlos Llamas Jaén for hissupport with the setting up of the performance evaluation tests.
DS Repositorio Institucional de la Universidad de Cádiz
RD 08-nov-2026