On the Design of an Algorithm for Mobility Management Over Fog Geographical Allocation for Healthcare Applications

Abstract

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.