ICN‐Fog Computing for IoT‐Based Healthcare
Divya Gupta, Shalli Rani, Syed Hassan Ahmed Shah · 2022
Internet of Things (IoT) is an emerging trend for various applications due to its ability to connect billions of things across the globe using the Internet. The IoT-based healthcare domain always demands real-time computations in emergency situations. Due to high network traffic and sensor data from patients, most IoT-based healthcare systems often suffer from high response delay as well as from poor network resources utilization. However, the recent developments in the field of fog and cloud computing offer several benefits by providing low-cost computation as well as better storage. Further, the issues related to connectivity of billions of devices by assigning IP addresses and location-based communication is addressed by future a Internet architecture known as information-centric networking (ICN). In this paper, we propose an ICN-fog computing layer between healthcare IoT devices and the cloud. The in-network caching feature of ICN with the concept of fog by extending the cloud to the edge of the network offers real-time computations by reducing the response delay for critical scenarios.