Affiliations:
1Department of Computer Science, Faculty of Computing and Information Technology, Northern Border University, Rafha, Saudi Arabia
2Department of Information Systems, Faculty of Computing and Information Technology, Northern Border University, Rafha, Saudi Arabia
3Department of Information Technology, Faculty of Computing and Information Technology, Northern Border University, Rafha, Saudi Arabia
The Internet of Things (IoT) has transformed the connection between physical and digital systems by enabling continuous data exchange and communication. However, the rapid increase in IoT devices brings significant challenges due to limited memory, processing power, and low-energy communication standards. Addressing these resource constraints is essential for improving system performance. This review explores existing parallel processing techniques specifically developed for resource-limited IoT devices, including hardware and software approaches that aim to enhance efficiency and speed. A comprehensive analysis of the literature highlights the importance of parallel processing in overcoming these limitations. The paper also discusses key challenges, potential benefits, and future directions, aiming to guide further research toward more efficient use of computational resources in IoT environments.
Internet of Things, Parallel processing, Resource constraints, IoT efficiency, Embedded systems
https://doi.org/10.21833/ijaas.2025.09.003
Albalawi, N. S., Alanazi, A. G., Alshammari, S., Alhamazani, F., & Alshammari, A. A. (2025). A review of parallel processing in resource-constrained Internet of Things (IoT) devices. International Journal of Advanced and Applied Sciences, 12(9), 21–35. https://doi.org/10.21833/ijaas.2025.09.003