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Modelling an adjustable autonomous multi-agent internet of things system for elderly smart home

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dc.citedby39
dc.contributor.authorMostafa S.A.en_US
dc.contributor.authorGunasekaran S.S.en_US
dc.contributor.authorMustapha A.en_US
dc.contributor.authorMohammed M.A.en_US
dc.contributor.authorAbduallah W.M.en_US
dc.contributor.authorid37036085800en_US
dc.contributor.authorid55652730500en_US
dc.contributor.authorid57200530694en_US
dc.contributor.authorid57192089894en_US
dc.contributor.authorid55584815900en_US
dc.date.accessioned2023-05-29T08:15:06Z
dc.date.available2023-05-29T08:15:06Z
dc.date.issued2020
dc.descriptionAir conditioning; Automation; Autonomous agents; Ergonomics; Multi agent systems; Adjustable autonomy; Application interfaces; Elderly users; Healthcare environments; Human agent interactions; Intelligent applications; Internet of Things (IOT); Smart homes; Internet of thingsen_US
dc.description.abstractInternet of Things (IoT) introduces many intelligent applications that are closely attached to humans� daily activities. This advanced technology attempts to bridge the gap between the information world and the physical world. Recent studies investigate efficient, flexible, scalable and reliable IoT systems that not only control things and devices on behalf of humans but adaptable to humans� preferences. However, the autonomous control of the IoT in a smart home or healthcare environment subjects to many factors such as human health, time and date. For example, peoples� needs and behaviours during workdays differ from weekends or a young person needs and behaviours differs from an elderly person. Hence, the practical setting of a smart home entails flexible management to the autonomous control of IoT systems. This paper proposes an architecture of Adjustable-Autonomous Multi-agent IoT (AAMA-IoT) system to resolve a number of the IoT management of control and application interface challenges. The AAMA-IoT is applied in an elderly smart home simulation in which autonomous agents control passive things such as a chair or door and active things such as a television or an air conditioner. The test results show that the AAMA-IoT system controls 14 things with average activities recognition accuracy of 96.97%. � Springer Nature Switzerland AG 2020.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-030-20473-0_29
dc.identifier.epage311
dc.identifier.scopus2-s2.0-85067663796
dc.identifier.spage301
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85067663796&doi=10.1007%2f978-3-030-20473-0_29&partnerID=40&md5=5431243af16d7ac41cb3057772f854c7
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25841
dc.identifier.volume953
dc.publisherSpringer Verlagen_US
dc.sourceScopus
dc.sourcetitleAdvances in Intelligent Systems and Computing
dc.titleModelling an adjustable autonomous multi-agent internet of things system for elderly smart homeen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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