A Suite of Design Quality Metrics for Internet of Things by Modelling Its Ecosystem as a Schema Graph

Author:

Waris Zeest1,Jaleel Abdul2ORCID,Shoaib Muhammad1,Nigar Natasha2,Abalo Douhadji3ORCID

Affiliation:

1. Department of Computer Science, University of Engineering and Technology, Lahore 54890, Pakistan

2. Department of Computer Science (RCET Campus, GRW), University of Engineering and Technology, Lahore 52250, Pakistan

3. University of Lomé, P.O.Box 1515, Lomé, Togo

Abstract

Internet of Things (IoT) infrastructure connects consumer electronics, household appliances, and other smart gadgets. For designing IoT systems and applications, different architectures and protocols are being used. The design quality of an IoT system and its services is assessed with quality of service (QoS) factors such as complexity, functional appropriateness, performance, efficiency, compatibility, maintainability, portability, and usability. The existing methods in the literature focus on measuring the quality of an IoT system during execution time; however, there is a need to define some standards that may be used to determine the quality of an IoT system from its design. This work models the IoT EcoSystem as a schema graph and presents a suite of metrics to determine the design quality of an IoT system and its services under the defined QoS factors. The presented metrics are mapped to the ISO-9126 QoS factors to ensure the standards and quality of IoT services during the design phase. The proposed metrics are validated with benchmarking on a case study smart healthcare IoT system. The results proved that the presented metrics are practical to quantify the quality of IoT design models under QoS factors, and the suite of metrics is able to compare differently designed IoT services.

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Combining Edge Computing-Assisted Internet of Things Security with Artificial Intelligence: Applications, Challenges, and Opportunities;Applied Sciences;2024-08-13

2. Ethical Design of Edge-based Smart Irrigation System by use Case Analysis;2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT);2024-04-06

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