SYSTEMATIC LITERATURE REVIEW OF IOT METRICS

Donatien Koulla Moulla

moulladonatien@gmail.com
University of South Africa (South Africa)
https://orcid.org/0000-0001-6594-8378

Ernest Mnkandla


(South Africa)
https://orcid.org/0000-0003-3989-5617

Alain Abran


(Canada)
https://orcid.org/0000-0003-2670-9061

Abstract

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 was to systematically inventory and classifies recent studies that have investigated IoT metrics. We 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 findings results show that the category of network metrics was the most 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.

 

Supporting Agencies

This research was funded by the University of South Africa under Grant 409000

Keywords:

IoT metrics, Performance metrics, Software metrics, Energy consumption, Network metrics, Systematic literature review

Ahmed, M. I., & Kannan, G. (2021). Secure and lightweight privacy preserving internet of things integration for remote patient monitoring. Journal of King Saud University - Computer and Information Sciences, 34(9), 1319-1578. https://doi.org/10.1016/j.jksuci.2021.07.016
DOI: https://doi.org/10.1016/j.jksuci.2021.07.016   Google Scholar

Ashton, K. (2009). That ‘Internet of Things’ Thing. Retrieved March 31, 2022 from https://www.rfidjournal.com/that-internet-of-things-thing.
  Google Scholar

Cui, J., Wang, L., Zhao, X., & Zhang, H. (2020). Towards predictive analysis of android vulnerability using statistical codes and machine learning for iot applications. Computer Communications, 155, 125-131. https://doi.org/10.1016/j.comcom.2020.02.078
DOI: https://doi.org/10.1016/j.comcom.2020.02.078   Google Scholar

Djam-Doudou, M., Ari, A. A. A., Emati, J. H. M., Njoya, A. N., Thiare, O., Labraoui, N., & Gueroui, A. M. (2022). A certificate-based pairwise key establishment protocol for IoT resource-constrained devices. Proceedings of the 2nd International Conference of Pan-African Artificial Intelligence and Smart Systems (PAAISS) (pp. 3-18). Springer. https://doi.org/10.1007/978-3-031-25271-6_1
DOI: https://doi.org/10.1007/978-3-031-25271-6_1   Google Scholar

Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2021). Artificial Intelligence and Business Value: a Literature Review. Information Systems Frontiers, 24, 1709–1734. https://doi.org/10.1007/s10796-021-10186-w
DOI: https://doi.org/10.1007/s10796-021-10186-w   Google Scholar

Filippova, A., Trainer, E., & Herbsleb, J. D. (2017). From diversity by numbers to diversity as process: Supporting inclusiveness in software development teams with brainstorming. Proceedings of the 39th International conference on software engineering (pp. 152–163). IEEE. https://doi.org/10.1109/ICSE.2017.22
DOI: https://doi.org/10.1109/ICSE.2017.22   Google Scholar

Fizza, K., Banerjee, A., Mitra, K, Jayaraman, P. P., Ranjan, R., Patel, P., & Georgakopoulos, D. (2021). QoE in IoT: a vision, survey and future directions. Discover Internet Things, 1(4), 1-14. https://doi.org/10.1007/s43926-021-00006-7
DOI: https://doi.org/10.1007/s43926-021-00006-7   Google Scholar

Gandotra, P., & Jha, R. K. (2017). A survey on green communication and security challenges in 5G wireless communication networks. Journal of Network and Computer Applications, 96(C), 39-61. https://doi.org/10.1016/j.jnca.2017.07.002
DOI: https://doi.org/10.1016/j.jnca.2017.07.002   Google Scholar

Hasan, M., Islam, M. M., Zarif, M. I. I., & Hashem, M. (2019). Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches. Internet of Things, 7, 100059.
  Google Scholar

https://doi.org/10.1016/j.iot.2019.100059
DOI: https://doi.org/10.1016/j.iot.2019.100059   Google Scholar

Hindle, A. (2015). Green mining: a methodology of relating software change and configuration to power consumption. Empirical Software Engineering, 20(2), 374-409. https://doi.org/10.1007/s10664-013-9276-6
DOI: https://doi.org/10.1007/s10664-013-9276-6   Google Scholar

Iwendi, C., Maddikunta, P. K. R., Gadekallu, T. R., Lakshmanna, K., Bashir, A. K., & Piran, M. J. (2020). A metaheuristic optimization approach for energy efficiency in the IoT networks. Software: Practice and Experience, 51(12), 2558– 2571. https://doi.org/10.1002/spe.2797
DOI: https://doi.org/10.1002/spe.2797   Google Scholar

Jagroep, E., Broekman, J., van der Werf, J. M. E. M., Lago, P., Brinkkemper, S., Blom, L., & Vliet, R. (2017). Awakening awareness on energy consumption in software engineering. 2017 IEEE/ACM 39th International Conference on Software Engineering: Software Engineering in Society Track (ICSESEIS) ( pp.76–85). IEEE. https://doi.org/10.1109/ICSE-SEIS.2017.10
DOI: https://doi.org/10.1109/ICSE-SEIS.2017.10   Google Scholar

Kim, M., Park, J. H., & Lee, N. Y. (2017). A Quality Model for IoT Service. In: J. Park, Y. Pan, G. Yi & V. Loia (Eds.), Advances in Computer Science and Ubiquitous Computing. UCAWSN CUTE CSA 2016. Lecture Notes in Electrical Engineering (vol. 421, pp. 497-504). Springer. https://doi.org/10.1007/978-981-10-3023-9_77
DOI: https://doi.org/10.1007/978-981-10-3023-9_77   Google Scholar

Kitchenham, B. A., & Charters, S. (2007). Guidelines for performing systematic literature review in software engineering. Keele University.
  Google Scholar

Klima, M., Rechtberger, V., Bures, M., Bellekens, X., Hindy, H., & Ahmed, B. S. (2020). Quality and Reliability Metrics for IoT Systems: A Consolidated View. In S. Paiva, S. I. Lopes, R. Zitouni, N. Gupta, S. F. Lopes& T. Yonezawa (Eds.), Science and Technologies for Smart Cities. SmartCity360° 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (pp. 635-650). Springer. https://doi.org/10.1007/978-3-030-76063-2_42
DOI: https://doi.org/10.1007/978-3-030-76063-2_42   Google Scholar

Koçak, S. A. (2021). Software energy consumption prediction using software code metrics (PhD disertation), Environmental Applied Science and Management, Ryerson University, Canada. https://doi.org/10.32920/ryerson.14666424.v1
DOI: https://doi.org/10.32920/ryerson.14666424.v1   Google Scholar

Kuemper, D., Iggena, T., Toenjes, R., & Pulvermueller, E. (2018). Valid.IoT: a framework for sensor data quality analysis and interpolation. Proceedings of the 9th ACM Multimedia Systems Conference (pp. 294-303). The ACM Digital Library. https://doi.org/10.1145/3204949.3204972
DOI: https://doi.org/10.1145/3204949.3204972   Google Scholar

Kumar, R., & Sharma, R. (2021). Leveraging blockchain for ensuring trust in IoT: A survey. Journal of King Saud University - Computer and Information Sciences, 34(10), 1319-1578. https://doi.org/10.1016/j.jksuci.2021.09.004
DOI: https://doi.org/10.1016/j.jksuci.2021.09.004   Google Scholar

Magno, M., Aoudia, F. A., Gautier, M., Berder, O., & Benini, L. (2017). WULoRa: An Energy Efficient IoT End-Node for Energy Harvesting and Heterogeneous Communication. Proceedings of IEEE/ACM
  Google Scholar

Design, Automation & Test in Europe Conference & Exhibition (pp. 1528-1533). IEEE. https://doi.org/10.23919/DATE.2017.7927233
DOI: https://doi.org/10.23919/DATE.2017.7927233   Google Scholar

Roy, S., Mazumdar, N., & Pamula, R. (2021). An energy optimized and QoS concerned data gathering protocol for wireless sensor network using variable dimensional PSO. Ad Hoc Networks, 123(C), 1-19. https://doi.org/10.1016/j.adhoc.2021.102669
DOI: https://doi.org/10.1016/j.adhoc.2021.102669   Google Scholar

Savola, R., Abie, H., & Sihvonen, M. (2012). Towards metrics-driven adaptive security management in Ehealth IoT applications. In I. Balasingham (Ed.), Proceedings of the 7th International Conference on Body Area Networks (BodyNets ‘12) (pp. 276–281). The ACM Digital Library. https://dl.acm.org/doi/abs/10.5555/2442691.2442753
DOI: https://doi.org/10.4108/icst.bodynets.2012.250241   Google Scholar

Soubra, H., & Abran, A. (2017). Functional Size Measurement for the Internet of Things (IoT): An example using COSMIC and the Arduino open source platform. In M. Staron &W. Meding (Eds.), Proceedings of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement (pp. 122-128). The ACM Digital Library. https://doi.org/10.1145/3143434.3143452
DOI: https://doi.org/10.1145/3143434.3143452   Google Scholar

Tavakolan, M., & Faridi, I. A. (2020). Applying privacy-aware policies in IoT devices using privacy metrics. Proceedings of the International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI) (pp.1-5). IEEE. https://doi.org/10.1109/CCCI49893.2020.9256605
DOI: https://doi.org/10.1109/CCCI49893.2020.9256605   Google Scholar

Taylor, P. J., Dargahi, T., Dehghantanha, A., & Parizi, R. M. (2020). A systematic literature review of blockchain cyber security. Digital Communications and Networks, 6(2), 147-156. https://doi.org/10.1016/j.dcan.2019.01.005
DOI: https://doi.org/10.1016/j.dcan.2019.01.005   Google Scholar

Voas, J., Kuhn, R., & Laplante, P. A. (2018). IoT metrology. IT Professional, 20(3), 6-10. https://doi.org/10.1109/MITP.2018.032501740
DOI: https://doi.org/10.1109/MITP.2018.032501740   Google Scholar

Wu, H., Shi, L., Chen, C., Wang, Q., & Boehm, B. (2016). Maintenance Effort Estimation for Open Source Software: A Systematic Literature Review. Proceedings of the International Conference on Software Maintenance and Evolution, (pp. 32-43). IEEE. https://doi.org/10.1109/ICSME.2016.87
DOI: https://doi.org/10.1109/ICSME.2016.87   Google Scholar

Yang, Y., Wu, L., Yin, G., Li, L., & Zhao, H. (2017). A Survey on Security and Privacy Issues in Internet-ofThings. IEEE Internet of Things Journal, 4(5), 1250-1258. https://doi.org/10.1109/JIOT.2017.2694844
DOI: https://doi.org/10.1109/JIOT.2017.2694844   Google Scholar

Zahoor, S., & Mir, R. N. (2021). Resource management in pervasive Internet of Things: A survey. Journal of King Saud University - Computer and Information Sciences, 33(8), 921-935. https://doi.org/10.1016/j.jksuci.2018.08.014
DOI: https://doi.org/10.1016/j.jksuci.2018.08.014   Google Scholar

Zhang, S., Bai, G., Li, H., Liu, P., Zhang, M., & Li S. (2021). Multi-Source Knowledge Reasoning for DataDriven IoT Security. Sensors, 21(22), 7579. https://doi.org/10.3390%2Fs21227579
DOI: https://doi.org/10.3390/s21227579   Google Scholar

Zhou, J., Cao, Z., Dong, X., & Vasilakos, A. V. (2017). Security and privacy for cloud-based IoT: challenges. IEEE Communications Magazine, 55(1), 26-33. https://doi.org/10.1109/MCOM.2017.1600363CM
DOI: https://doi.org/10.1109/MCOM.2017.1600363CM   Google Scholar

Download


Published
2023-03-31

Cited by

Moulla, D. K., Mnkandla, E., & Abran, A. (2023). SYSTEMATIC LITERATURE REVIEW OF IOT METRICS. Applied Computer Science, 19(1), 64–81. https://doi.org/10.35784/acs-2023-05

Authors

Donatien Koulla Moulla 
moulladonatien@gmail.com
University of South Africa South Africa
https://orcid.org/0000-0001-6594-8378

Authors

Ernest Mnkandla 

South Africa
https://orcid.org/0000-0003-3989-5617

 

 

 


Authors

Alain Abran 

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

 

 



Statistics

Abstract views: 354
PDF downloads: 149


License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

All articles published in Applied Computer Science are open-access and distributed under the terms of the Creative Commons Attribution 4.0 International License.


Similar Articles

<< < 6 7 8 9 10 11 12 13 14 15 > >> 

You may also start an advanced similarity search for this article.