Revolutionizing Healthcare through IoT and Edge Computing: A Evaluation of Optimization Techniques

The purpose of this evaluation paper is to provide an overview of the current state of the art research on the implementation of optimization techniques in edge computing for smart hospitals, with a focus on the integration of Industry 4.0 concepts, ant colony optimization algorithms, and Internet of Things (IoT) devices. The paper begins by providing a background on the concept of edge computing and its potential in the healthcare industry, followed by a discussion of the current challenges and limitations in implementing edge computing in smart hospitals. The main body of the paper reviews recent studies that have applied optimization techniques, such as ant colony optimization, to various aspects of hospital operations, including resource allocation, patient scheduling, and facility management. The paper also examines the use of IoT devices and sensors to collect real-time data from the hospital environment, which is then processed by the edge computing system to optimize operations. The review concludes with an assessment of the current state of research in this field, highlighting areas of progress and opportunities for future research. Overall, this paper provides a comprehensive analysis of the use of optimization techniques in edge computing for smart hospitals, and demonstrates the potential of Industry 4.0 concepts, ant colony optimization, and IoT in revolutionizing the healthcare industry.