JOURNAL ARTICLE

Edge Computing-Based Mobile Health System: Network Architecture and Resource Allocation

Di LinYu Tang

Year: 2019 Journal:   IEEE Systems Journal Vol: 14 (2)Pages: 1716-1727   Publisher: Institute of Electrical and Electronics Engineers

Abstract

A cellular network with edge computing and microservice is pervasive to support mobile-health applications anytime and anywhere. Edge computing can potentially enhance the computational capabilities of a network, and microservice can help the network adapt to various mobile-health applications. In such a network, we present the design of its architecture, the allocation of its resources, as well as the management of its data. Specifically, we address a three-tier network architecture for mobile-health applications from the perspectives of communication, computation, as well as service. Also, we discuss the issues of resource allocation within the network in order to optimize its performance. Finally, we address the management of medical data (e.g., video streaming, medical images) in order to efficiently inquire them for diagnosis and medical treatment.

Keywords:
Computer science Mobile edge computing Computer network Resource allocation Cellular network Edge computing Network architecture Mobile computing Enhanced Data Rates for GSM Evolution Distributed computing Edge device Service (business) Architecture Server Cloud computing Telecommunications Operating system

Metrics

15
Cited By
1.94
FWCI (Field Weighted Citation Impact)
16
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Wireless Body Area Networks
Physical Sciences →  Engineering →  Biomedical Engineering
Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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