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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F19%3A50016272" target="_blank" >RIV/62690094:18450/19:50016272 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2076-3417/9/23/5111/htm" target="_blank" >https://www.mdpi.com/2076-3417/9/23/5111/htm</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/app9235111" target="_blank" >10.3390/app9235111</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Applied Sciences (Switzerland)

ISSN

2076-3417

e-ISSN

—

Volume of the periodical

9

Issue of the periodical within the volume

23

Country of publishing house

CH - SWITZERLAND

Number of pages

27

Pages from-to

"Article Number: 5111"

UT code for WoS article

000509476600133

EID of the result in the Scopus database

2-s2.0-85076083536