Paper Info
Title
Edge-Assisted Solutions for IoT-Based Connected Healthcare Systems: A Literature Review
Abstract
With the rapid growth of edge-assisted solutions in Internet of Things (IoT) networks, connected healthcare progressively relies on such solutions. This refers to systems in which all the healthcare stakeholders are connected to each other. These systems employ novel technologies, such as IoT, edge computing, and artificial intelligence (AI) to convert conventional health systems to more effective, appropriate, and customized intelligent systems. However, such systems encounter many restrictions and require new policies. By moving the computation and processing closer to the data sources and end-users, fog becomes edge computing which can reduce latency, bandwidth usage, and energy consumption. To the best of our knowledge, there is no systematic and methodological research in this scope that investigates the existing studies considering various vital and relevant factors. Thus, this survey aims to examine the state-of-the-art research in this area. We have reviewed a significant number of papers in this area and divided them into two main taxonomies, patient-centric and process-centric techniques. Furthermore, essential factors, such as available data sets and parameters like accuracy, mobility, and data rates are described and examined. Our aim is to bridge the gap between edge computing and connected healthcare solutions by discussing the challenges and highlighting future trends.
Year
DOI
Venue
2022
10.1109/JIOT.2021.3135200
IEEE Internet of Things Journal
Keywords
DocType
Volume
Artificial intelligence (AI),edge intelligence,Internet of Things (IoT),patient monitoring,smart healthcare
Journal
9
Issue
ISSN
Citations 
12
2327-4662
1
PageRank 
References 
Authors
0.35
102
4
Search Limit
100102
Name
Order
Citations
PageRank
Vahideh Hayyolalam110.35
moayad aloqaily233137.67
Oznur Ozkasap338154.62
Mohsen Guizani474.18