Systematic literature review of IoT metrics

• Autorzy: Moulla Donatien Koulla Moulla , Mnkandla Ernest , Abran Alain

Identyfikatory

DOI

10.35784/acs-2023-05

• Języki publikacji: EN

Abstrakty

EN

The Internet of Things (IoT) touches almost every aspect of modern society and has changed the way people live, work, travel and, do business. Because of its importance, it is essential to ensure that an IoT system is performing well, as desired and expected, and that this can be assessed and managed with an adequate set of IoT performance metrics. The aim of this study is to systematically inventory and classify recent studies that have investigated IoT metrics. The authors conducted a literature review based on studies published between January 2010 and December 2021 using a set of five research questions (RQs) on the current knowledge bases for IoT metrics. A total of 158 IoT metrics were identified and classified into 12 categories according to the different parts and aspects of an IoT system. To cover the overall performance of an IoT system, the 12 categories were organized into an ontology. The results show that the category of network metrics was most frequently discussed in 43% of the studies and, with the highest number of metrics at 37%. This study can provide guidelines for researchers and practitioners in selecting metrics for IoT systems and valuable insights into areas for improvement and optimization.

Słowa kluczowe

EN

IoT metrics; performance metrics; software metrics; energy consumption; network metrics; systematic literature review

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2023
• Tom: Vol. 19, no 1
• Strony: 64--81
• Opis fizyczny: Bibliogr. 30 poz., fig., tab.

Twórcy

autor

Moulla Donatien Koulla Moulla

• University of South Africa, School of Computing, Department of Computer Science, South Afric
• University of Maroua, National Advanced School of Mines and Petroleum Industries, Department of Fundamental Sciences, Cameroon

• https://orcid.org/0000-0001-6594-8378

autor

Mnkandla Ernest

• University of South Africa, School of Computing, Department of Computer Science, South Africa

• https://orcid.org/0000-0003-3989-5617

autor

Abran Alain

• École de Technologie Supérieure, Department of Software Engineering and Information Technology, Canada

• https://orcid.org/0000-0003-2670-9061

Bibliografia

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