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Chander, B., Pal, S., De, D. and Buyya, R. (2022) Artificial Intelligence-Based Internet of Things for Industry 5.0. In: Pal, S., De, D. and Buyya, R., Eds., Artificial Intelligence-Based Internet of Things Systems, Springer International Publishing, 3-45.
https://doi.org/10.1007/978-3-030-87059-1_1

has been cited by the following article:

• TITLE: Assessing the Effectiveness of IoT-Based Safety Monitoring Systems in Mitigating Workplace Hazards: A Systems Engineering Approach

  AUTHORS: John Atabong Zifac

  KEYWORDS: IoT (Internet of Things), Workplace Safety, Safety Monitoring Systems, Systems Engineering, Industrial Hazards, Physical Hazards

  JOURNAL NAME: Open Journal of Safety Science and Technology, Vol.15 No.4, October 30, 2025

  ABSTRACT: This comprehensive study examines how IoT-based safety monitoring systems improve workplace safety in the general industry. The study utilizes secondary qualitative approach to collect data and analyze it by the help of narrative analysis. Systems engineering techniques are used to develop, optimize, and manage these systems, emphasizing stakeholder demands, system requirements definition, system architecture design, and risk assessment and mitigation. The article identifies some drawbacks of these systems, including technological issues and privacy concerns. Thus, the research recommends integrating IoT-based tools into a safety management approach rather than using them alone. The study finds that IoT-based safety monitoring systems, driven by research, system enhancement, and user acceptability, can change safety management across sectors.