Using Multiple RPL Instances to Enhance the Performance of New 6G and Internet of Everything (6G/IoE)-Based Healthcare Monitoring Systems

In healthcare organizations such as hospitals, it is important to have an efficient healthcare monitoring system in which the patients’ vital signs are collected from multiple sensors and transformed into the decisions makers to be analyzed and take the appropriate actions. The IPv6 Routing Protocol...

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Bibliographic Details
Published in:Mobile networks and applications 2021-06, Vol.26 (3), p.952-968
Main Authors: Mardini, Wail, Aljawarneh, Shadi, Al-Abdi, Amnah
Format: Article
Language:English
Subjects:
Communications Engineering
Computer Communication Networks
Decision analysis
Electrical Engineering
Engineering
Health care
Internet
IT in Business
Monitoring
Monitoring systems
Network latency
Networks
Performance evaluation
Performance measurement
Routing (telecommunications)
Systems analysis
Telemedicine
Wireless networks
Wireless sensor networks
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Summary:In healthcare organizations such as hospitals, it is important to have an efficient healthcare monitoring system in which the patients’ vital signs are collected from multiple sensors and transformed into the decisions makers to be analyzed and take the appropriate actions. The IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) was developed to act as an appropriate routing protocol in new 6G and Internet of Everything (6G/IoE)-based networks with the underlying Wireless Sensor Networks (WSNs). In the RPL, a set of nodes, which are connected and have a common objective, are grouped to represent an instance. This paper investigates the use of multiple RPL instances in healthcare monitoring systems to enhance the performance of such systems. The authors evaluate the performance of their proposed approach using Cooja simulator in terms of two key routing performance metrics: average Packet Delivery Ratio (PDR) and average latency. The results of the simulation showed that, by using the proposed approach, the performance of healthcare monitoring systems is enhanced in all cases, in terms of latency, from tens of seconds to less than one second.
ISSN:1383-469X
1572-8153
DOI:10.1007/s11036-020-01662-9