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Edge-of-Things Computing-Based Smart Healthcare System

Edge-of-Things Computing-Based Smart Healthcare System
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Author(s): Diana Yacchirema (Escuela Politécnica Nacional, Ecuador), Carlos Palau (Universitat Politècnica de València, Spain) and Manuel Esteve (Universitat Politècnica de València, Spain)
Copyright: 2019
Pages: 22
Source title: Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization
Source Author(s)/Editor(s): Surjit Singh (Thapar Institute of Engineering and Technology, India) and Rajeev Mohan Sharma (National Institute of Technology Kurukshetra, India)
DOI: 10.4018/978-1-5225-7335-7.ch001

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Abstract

Any delay introduced in healthcare applications could critically affect the health of patients. Edge computing paradigm has been introduced recently as an alternative to develop such applications, where a rapid response is necessary to ensure the immediate assistance of patients when they need help. In this chapter, the authors propose an edge-of-things computing-based architecture, which illustrates the benefits of the realization of IoT under edge computing approach. The proposed architecture offers significant advantages: 1) it reduces the latency time in the data transmission for processing and analysis; 2) it improves the response time of the delivery of notifications or emergency alerts; 3) it provides real-time processing and big data analysis in the proximity of data sources; 4) it enables interoperability between heterogeneous devices; and 5) it provides security and QoS in the data transmission. The usefulness and relevance of the proposed architecture is evaluated through the implementation of a smart healthcare system applied to a medical case study.

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