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.

RAS ID

60187

Document Type

Journal Article

Date of Publication

1-1-2023

School

School of Engineering

Copyright

subscription content

Publisher

American Scientific Publishers

Comments

Aldosary, S., Hussien, D. A., Amoon, M., Al- Sisi, A., Khaled, H., & El-Bahnasawy, N. A. (2023). On the design of an algorithm for mobility management over fog geographical allocation for healthcare applications. Journal of Nanoelectronics and Optoelectronics, 18(1), 95-103. https://doi.org/10.1166/jno.2023.3366

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Link to publisher version (DOI)

10.1166/jno.2023.3366