Mobile Edge Computing in Smart Healthcare: A Comprehensive Review, Challenges and Future Directions
Muhammad Ayaz, Muhammad Ayaz, Zubair Sharif, Yussri M. Mahrous, Fares Almehmadi · Journal of Hunan University Natural Sciences · 2024
Mobile Edge Computing (MEC) is a distributed computing paradigm that brings computational resources closer to the edge of the network, enabling faster processing and low-latency interactions for applications and services. This computing paradigm is crucial for many applications, including intelligent healthcare systems, where it allows for the rapid analysis of healthcare data at the edge, supporting prompt and effective health-related services, remote patient monitoring, and personalized medicine. In this paper, we aim to comprehensively review MEC applications in the context of smart healthcare systems. The primary focus is on the integration of MEC technology as a pivotal solution to address the growing demand for efficient and real-time healthcare services. To highlight the purpose and novelty of this research, we delve into the current status of MEC in healthcare, examining both the significant challenges and opportunities in this domain. Challenges, including latency, security, and scalability, are discussed, providing insights into the complexities of implementing MEC in healthcare. Notably, our paper contributes by providing research directions to address these challenges, thereby unlocking the full potential of MEC, hence offering a roadmap for future advancements for smart healthcare systems. Keywords: mobile edge computing, smart healthcare, network. https://doi.org/10.55463/issn.1674-2974.51.2.2