On the design of an algorithm for mobility management over fog geographical allocation for healthcare applications
Journal of Nanoelectronics and Optoelectronics
American Scientific Publishers
School of Engineering
Healthcare applications need an immediate response with minimal latency. Fog computing provides real-time monitoring and computation at the network edge so the data collected by Internet of Things (IoT) devices can be analyzed with minimal cost in real-time. However, dealing with end-user mobility becomes even more challenging with fog-assisted IoT healthcare frameworks because low latency in mobility support and fog node locating is a vital prerequisite. In this paper, we propose a fog node (FN) allocation and mobility-adapted fog computing architecture. The architecture is based on an algorithm that offers low latency for location-sensitive operations and service stability with high data broadcast quality for user mobility in fog computing. In our proposed architecture, it is no longer obligatory to either carry out a job on, or redirect it to, the cloud but instead connect with other FNs to continue with a request for a new job. The proposed architecture minimizes average network lateness by 40%–50%, bandwidth by 30%–40%, and end-to-end communication by 35%–55%. Additionally, the utilization of the FN computational resources is maximized.