A Framework for Advanced Technology in Energy-Efficient Dew Computing for Smart Healthcare
Kiran Deep Singh, Prabhdeep Singh, Sudhanshu Maurya, Rohan Verma, Kapil Kumar Joshi, Laxmi Khilnani · 2024
By allowing for remote patient monitoring, real-time diagnostics, and efficient healthcare data administration, smart healthcare technologies are transforming the medical business. However, energy consumption and latency concerns have been raised due to the growth of resource-intensive healthcare applications in cloud-based infrastructures. This study introduces a novel method for overcoming these obstacles by developing a Dew Computing framework optimized for smart healthcare settings that is both energy-efficient and scalable. This system, influenced by Dew Computing, brings cloud functionality to the network's periphery, where data and medical equipment functions are created. The framework prioritizes hardware selection that is light on energy consumption, dynamic allocation of resources, efficient data management, and encrypted communication channels. Our extensive analysis demonstrates the suggested framework's usefulness and low energy use in practical healthcare settings. Through our experiments, we have found that considerable decreases in energy use are possible without compromising the safety or quality of healthcare services. This study provides an energy-efficient answer for the development of future smart healthcare systems, adding to the expanding body of knowledge on edge computing and its applications in healthcare technology.