Comparison of Network Performance Metrics for Dependable IoT Systems

Authors

  • Rishabh Deo Pandey Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, India
  • Anvita Nandan Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, India
  • Itu Snigdh Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, India

DOI:

https://doi.org/10.13052/jmm1550-4646.2242

Keywords:

Internet of Things (IoT), Functional Correctness, Availability, Responsiveness, Reliability, Resilience.

Abstract

With the emergence of IoT, many aspects of our daily life are being transformed. Billions of smart devices are being connected globally to perform efficient decision making for individuals. This increases their requirement to qualify as dependable systems. Thus, the performance of such systems becomes crucial and inherently depends upon the proper functioning of its components and the underlying network. Conventionally network performance has been measured by measuring factors like packet loss, packet delivery ratio, throughput and delay, but these metrics have not provided a satisfactory measure of system dependability. In this contribution, we present analytical formulations that are used to analyze the behavior of the IoT networks, under different types of payloads, such as video, voice and text traffic. We also examine network resilience as an example of FTP (File transfer protocol) and CoAP (Constrained Application Protocol). These measures are systematically correlated with the quality characteristics that have been defined in ISO/IEC 25010, thus providing a cohesive framework of assessing the performance as well as the dependability of an IoT network. The approach suggested gives a greater understanding of those factors that influence the network connectivity and the overall robustness of the system in the case of IoT application.

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Author Biographies

Rishabh Deo Pandey, Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, India

Rishabh Deo Pandey is currently working as an Assistant Professor in the Centre for Artificial Intelligence at Madhav Institute of Technology and Science (MITS) Gwalior, India. He completed his Ph.D. under the supervision of Itu Snigdh from Department of Computer Science & Engineering, Birla Institute of Technology, Mesra, Ranchi, in the field of IoT. He received his M.Tech degree in Computer Science & Engineering from BIT Mesra in 2019 and B.Tech. degree in Computer Science & Engineering from Shaheed Bhagat Singh State Technical Campus, Ferozepur, Punjab, in 2016. His areas of interest include probabilistic modelling in AI, IoT, and software metrics.

Anvita Nandan, Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, India

Anvita Nandan is currently working as an Assistant Professor in Department of Computer Science & Engineering, Birla Institute of Technology, Patna Campus, India. She completed her Ph.D. under the supervision of Itu Snigdh from Department of Computer Science & Engineering, Birla Institute of Technology, Mesra, Ranchi, in the field of Wireless Sensor Networks. She received her M.Tech. degree in Computer Science & Engineering from BIT Mesra in 2015 and B.Tech. degree in Computer Science & Engineering from Rajasthan Technical University, Kota, in 2011. Her areas of interest include WSN and Artificial Intelligence.

Itu Snigdh, Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, India

Itu Snigdh is currently working as an Associate Professor in the Department of CSE, BIT Mesra, India, and received her Ph.D. in the area of Wireless Sensor Networks in 2016. She has her master’s degree in Software Engineering from B.I.T. Mesra. She received her bachelor’s degree in Electrical Engineering from B.I.T. Sindri in 2000. She has been with the department of CSE for 24 years and specializes in Database Management System, Internet of Things, Artificial Intelligence, and Cloud Computing. Her research interests lie in the field of cyber physical systems and sensor networks. She has authored and coauthored several journal articles, book chapters, and conference papers in this domain. She is also associated with projects on Explainable AI and worked on EMI-EMC compliance of wearable IoT devices.

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Published

2026-09-19

How to Cite

Pandey, R. D., Nandan, A., & Snigdh, I. (2026). Comparison of Network Performance Metrics for Dependable IoT Systems. Journal of Mobile Multimedia, 22(4), 453–. https://doi.org/10.13052/jmm1550-4646.2242

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Articles