Internet of Things-Driven Safety and Efficiency in High-Risk Environments: Challenges, Applications, and Future Directions

The Internet of Things (IoT) is a technology that can bring about significant change in several areas, especially in high-risk situations such as industrial environments and health and safety contexts. This research study has examined many IoT applications within domains and identified their importance in improving risk management and operational efficiency strategies. IoT enables sensor networks, wearable devices, and remote monitoring systems with edge computing capabilities. Thus, it allows real-time monitoring, early threat detection, and predictive maintenance. Data analytics technologies make it easier to capture valuable information that stakeholders can use to make informed decisions and optimize workflows to improve performance. Despite the transformational promises of IoT, there are still some problems. These include security vulnerabilities, interoperability concerns, and extensive training programs. Addressing these challenges offers the opportunity to create innovative, resourceful collaboration in developing robust IoT solutions to accommodate the requirements of hazardous environments. In the coming times, further growth of IoT and integration with the latest technologies like 5G and robotics promise new ways to ensure safety and efficiency in operations. Within this study, we emphasize the role of IoT as an enabling factor in transforming dangerous areas into safe and efficient zones, assuring our readers on the safety benefits of IoT. It also provides a general perspective towards potential future research and development directions.

@article{SUN2025,
  title     = {Internet of Things-Driven Safety and Efficiency in High-Risk Environments: Challenges, Applications, and Future Directions},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {16},
  number    = {5},
  year      = {2025},
  publisher = {The Science and Information Organization},
  author    = {Hua SUN},
  doi       = {10.14569/IJACSA.2025.0160563},
  url       = {https://doi.org/10.14569/IJACSA.2025.0160563}
}