Multi-agent systems in fog–cloud computing for critical healthcare task management model (CHTM) used for ECG monitoring

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dc.contributor.authorMutlag, Ammar Awad
dc.contributor.authorGhani, Mohd Khanapi Abd
dc.contributor.authorMohammed, Mazin Abed
dc.contributor.authorLakhan, Abdullah
dc.contributor.authorMohd, Othman
dc.contributor.authorAbdulkareem, Karrar Hameed
dc.contributor.authorGarcía-Zapirain, Begoña
dc.date.accessioned2025-08-11T08:38:21Z
dc.date.available2025-08-11T08:38:21Z
dc.date.issued2021-10-19
dc.date.updated2025-08-11T08:38:21Z
dc.description.abstractIn the last decade, the developments in healthcare technologies have been increasing progressively in practice. Healthcare applications such as ECG monitoring, heartbeat analysis, and blood pressure control connect with external servers in a manner called cloud computing. The emerging cloud paradigm offers different models, such as fog computing and edge computing, to enhance the performances of healthcare applications with minimum end-to-end delay in the network. However, many research challenges exist in the fog-cloud enabled network for healthcare applications. Therefore, in this paper, a Critical Healthcare Task Management (CHTM) model is proposed and implemented using an ECG dataset. We design a resource scheduling model among fog nodes at the fog level. A multi-agent system is proposed to provide the complete management of the network from the edge to the cloud. The proposed model overcomes the limitations of providing interoperability, resource sharing, scheduling, and dynamic task allocation to manage critical tasks significantly. The simulation results show that our model, in comparison with the cloud, significantly reduces the network usage by 79%, the response time by 90%, the network delay by 65%, the energy consumption by 81%, and the instance cost by 80%.en
dc.description.sponsorshipThis research received funding from Basque Country Government.en
dc.identifier.citationMutlag, A. A., Ghani, M. K. A., Mohammed, M. A., Lakhan, A., Mohd, O., Abdulkareem, K. H., & Garcia-Zapirain, B. (2021). Multi-agent systems in fog–cloud computing for critical healthcare task management model (CHTM) used for ECG monitoring. Sensors, 21(20). https://doi.org/10.3390/S21206923
dc.identifier.doi10.3390/S21206923
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/20.500.14454/3345
dc.language.isoeng
dc.publisherMDPI
dc.rights© 2021 by the authors
dc.subject.otherBalancing
dc.subject.otherCardiology
dc.subject.otherCloud computing
dc.subject.otherFog computing
dc.subject.otherMulti-agent system
dc.subject.otherPrioritization
dc.subject.otherScheduling
dc.titleMulti-agent systems in fog–cloud computing for critical healthcare task management model (CHTM) used for ECG monitoringen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.issue20
oaire.citation.titleSensors
oaire.citation.volume21
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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