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Improving agent quality in dynamic smart cities by implementing an agent quality management framework

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dc.rights.license CC BY eng
dc.contributor.author Bakar, N.A. cze
dc.contributor.author Selamat, Ali Bin cze
dc.contributor.author Krejcar, Ondřej cze
dc.date.accessioned 2020-06-07T20:51:36Z
dc.date.available 2020-06-07T20:51:36Z
dc.date.issued 2019 eng
dc.identifier.issn 2076-3417 eng
dc.identifier.uri http://hdl.handle.net/20.500.12603/338
dc.description.abstract It is critical for quality requirements, such as trust, privacy, and confidentiality, to be fulfilled during the execution of smart city applications. In this study, smart city applications were modeled as agent systems composed of many agents, each with its own privacy and confidentiality properties. Violations of those properties may occur during execution due to the dynamic of agent behavior, decision-making capabilities, and social activities. In this research, a framework called Agent Quality Management was proposed and implemented to manage agent quality in agent systems. This paper demonstrates the effectiveness of the approach by applying it toward a smart city application called a crowdsourced navigation system to verify and assess agent data confidentiality. The AnyLogic Agent-Based Modeling tool was used to model and conduct the experiments. The experiments showed that the framework helped to improve the detection of agent quality violations in a dynamic smart city application. The results can be further analyzed using advanced data analytic approach to reduce future violations and improve data confidentiality in a smart city environment. © 2019 by the authors. eng
dc.format p. "Article Number: 5111" eng
dc.language.iso eng eng
dc.publisher MDPI AG eng
dc.relation.ispartof Applied Sciences (Switzerland), volume 9, issue: 23 eng
dc.subject Agent quality eng
dc.subject Confidentiality eng
dc.subject Quality management eng
dc.subject Smart city eng
dc.subject Violations detection eng
dc.subject Agent quality cze
dc.subject Confidentiality cze
dc.subject Quality management cze
dc.subject Smart city cze
dc.subject Violations detection cze
dc.title Improving agent quality in dynamic smart cities by implementing an agent quality management framework eng
dc.title.alternative Improving agent quality in dynamic smart cities by implementing an agent quality management framework cze
dc.type article eng
dc.identifier.obd 43875882 eng
dc.identifier.doi 10.3390/app9235111 eng
dc.description.abstract-translated It is critical for quality requirements, such as trust, privacy, and confidentiality, to be fulfilled during the execution of smart city applications. In this study, smart city applications were modeled as agent systems composed of many agents, each with its own privacy and confidentiality properties. Violations of those properties may occur during execution due to the dynamic of agent behavior, decision-making capabilities, and social activities. In this research, a framework called Agent Quality Management was proposed and implemented to manage agent quality in agent systems. This paper demonstrates the effectiveness of the approach by applying it toward a smart city application called a crowdsourced navigation system to verify and assess agent data confidentiality. The AnyLogic Agent-Based Modeling tool was used to model and conduct the experiments. The experiments showed that the framework helped to improve the detection of agent quality violations in a dynamic smart city application. The results can be further analyzed using advanced data analytic approach to reduce future violations and improve data confidentiality in a smart city environment. © 2019 by the authors. cze
dc.publicationstatus postprint eng
dc.peerreviewed yes eng
dc.source.url https://www.mdpi.com/2076-3417/9/23/5111/htm cze
dc.relation.publisherversion https://www.mdpi.com/2076-3417/9/23/5111/htm eng
dc.rights.access Open Access eng


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