CRDT-based knowledge synchronisation in an Internet of Robotics Things ecosystem for Ambient Assisted Living

dc.contributor.authorGaleas-Merchán, José Miguel
dc.contributor.authorTudela, Alberto
dc.contributor.authorPons, Óscar
dc.contributor.authorBandera-Rubio, Juan Pedro
dc.contributor.authorBandera-Rubio, Antonio Jesús
dc.contributor.authorBustos, Pablo
dc.date.accessioned2025-06-30T09:30:39Z
dc.date.available2025-06-30T09:30:39Z
dc.date.issued2025-06-28
dc.departamentoTecnología Electrónicaes_ES
dc.description.abstractIntegrating IoT and assistive robots in the design of Ambient Assisted Living (AAL) frameworks has proven to be a useful solution for monitoring and assisting elderly people at home. As a way to manage the information captured and assess the person’s condition, respond to emergencies, promote physical or cognitive exercises, etc., these systems can also integrate a Virtual Caregiver (VC). Given the diversity of technologies deployed in such an AAL framework, deciding how to manage knowledge appropriately can be complex. This paper proposes to organise the AAL framework as a distributed system, i.e., as a collection of autonomous software agents that provide users with a single coherent response. In this distributed system, agents are deployed locally and handle replicas of the knowledge model. The problem of merging these replicas into a consistent representation, therefore arises.The -CRDT (Conflict-free Replicated Data Type) synchronisation mechanism is employed to ensure the eventual consistency with low communication overhead. To manage the dynamics of the AAL ecosystem, the -CRDT is combined with the publish/subscribe interaction protocol. In this way, the performance of the IoT, the robot and the VC, through the functionalities that depend on them, is efficiently adapted to changes in the context. To demonstrate the validity of the proposal, two use cases have been designed in which a collaborative response from the system is required. The first one deals with a possible fall of the user at home, while the second one deals with the problem of helping the person move small objects around the flat. The measured values of latency or consistency in the data show that the proposal works satisfactorily.es_ES
dc.description.sponsorshipFunding for open access charge: Universidad de Málaga / CBUAes_ES
dc.identifier.citationFormoso, M. A., Arco, J. E., Ortiz, A., Gan, J. Q., & Rodréguez-Rodríguez, I. (2025). Cerebral lateralization assessment: an explainable deep learning approach with channel attention mechanism. IEEE Journal of Biomedical and Health Informatics, 1–14.es_ES
dc.identifier.doi10.1016/j.cviu.2025.104437
dc.identifier.issn1077-3142
dc.identifier.urihttps://hdl.handle.net/10630/39174
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectProceso electrónico de datoses_ES
dc.subjectInternet de los objetoses_ES
dc.subjectRobóticaes_ES
dc.subject.otherAmbient assistant livinges_ES
dc.subject.otherInternet of Robotics Things (IoRT)es_ES
dc.subject.otherPublish/subscribees_ES
dc.subject.otherKnowledge consistency maintenancees_ES
dc.subject.otherDelta conflict-free Replicated Data Type ( 𝛿����-CRDT)es_ES
dc.titleCRDT-based knowledge synchronisation in an Internet of Robotics Things ecosystem for Ambient Assisted Livinges_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationc8dc8297-8f9f-4d7d-ad78-3e38781c67c5
relation.isAuthorOfPublicationd6451673-45f2-423a-8ea9-3eb718117284
relation.isAuthorOfPublication2c4fc69e-b9aa-480d-a764-6293140c98d3
relation.isAuthorOfPublication.latestForDiscoveryc8dc8297-8f9f-4d7d-ad78-3e38781c67c5

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