Welcome to the InfoSci Platform
Edge-of-Things Computing-Based Smart Healthcare System

Edge-of-Things Computing-Based Smart Healthcare System

Diana Yacchirema, Carlos Palau, Manuel Esteve
Copyright: © 2019 |Pages: 22
ISBN13: 9781522573357|ISBN10: 1522573356|ISBN13 Softcover: 9781522590552|EISBN13: 9781522573364
DOI: 10.4018/978-1-5225-7335-7.ch001
Cite Chapter Cite Chapter

MLA

Yacchirema, Diana, et al. "Edge-of-Things Computing-Based Smart Healthcare System." Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization, edited by Surjit Singh and Rajeev Mohan Sharma, IGI Global, 2019, pp. 1-22. https://doi.org/10.4018/978-1-5225-7335-7.ch001

APA

Yacchirema, D., Palau, C., & Esteve, M. (2019). Edge-of-Things Computing-Based Smart Healthcare System. In S. Singh & R. Mohan Sharma (Eds.), Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization (pp. 1-22). IGI Global. https://doi.org/10.4018/978-1-5225-7335-7.ch001

Chicago

Yacchirema, Diana, Carlos Palau, and Manuel Esteve. "Edge-of-Things Computing-Based Smart Healthcare System." In Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization, edited by Surjit Singh and Rajeev Mohan Sharma, 1-22. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7335-7.ch001

Export Reference

Mendeley
Favorite

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.