Improving Agent Quality in Dynamic Smart Cities by Implementing an Agent Quality Management Framework


Abu Bakar, Najwa and Selamat, Ali and Krejcar, Ondrej (2019) Improving Agent Quality in Dynamic Smart Cities by Implementing an Agent Quality Management Framework. Applied Sciences, 9 (23). p. 5111. ISSN 2076-3417

[img] Text
92.pdf - Published Version
Restricted to Repository staff only

Download (5MB)


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.

Item Type: Article
Uncontrolled Keywords: Smart city; agent quality; confidentiality; quality management; violations detection
Subjects: H Social Sciences > HF Commerce > HF5001-6182 Business > HF5546-5548.6 Office management
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 27 Oct 2021 05:13
Last Modified: 27 Oct 2021 05:13


Downloads per month over past year

View ItemEdit (login required)