Modelling Buffer-Overflow in 6LoWPAN-Based Resource-Constraint IoT-Healthcare Network

Healthcare is one of the prominent domains that can benefit from numerous revolutionary features of the Internet of Things. Proactive, personalized, and connected healthcare is promised with the amalgamation of IoT in the healthcare sector. Recent advancements in the Wireless Sensor Network  and IPv...

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Bibliographic Details
Published in:Wireless personal communications 2023-03, Vol.129 (2), p.1113-1128
Main Authors: Verma, Himanshu, Chauhan, Naveen, Awasthi, Lalit Kumar
Format: Article
Language:English
Subjects:
Buffers
Communications Engineering
Computer Communication Networks
Congestion
Constraint modelling
Engineering
Health care
Internet of Things
Networks
Overflow
Sensors
Signal,Image and Speech Processing
Wireless networks
Wireless sensor networks
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Summary:Healthcare is one of the prominent domains that can benefit from numerous revolutionary features of the Internet of Things. Proactive, personalized, and connected healthcare is promised with the amalgamation of IoT in the healthcare sector. Recent advancements in the Wireless Sensor Network  and IPv6 over Low-Power Wireless Personal Area Networks provide hopes for implementing the ‘ Internet of Healthcare Things ’. Such an application demands real-time, time-critical, instantaneous, zero loss of information at a higher data rate from resource-constraint medical sensing devices. Such requirements create new and never-foreseen challenges in front of researchers. Sincerely addressing congestion for the 6LoWPAN-based resource-limited IoHT network is a severe challenge. This paper discusses the situations of congestion occurrence, the steps required for mitigation, and the factors affecting congestion. As identified, buffer overflow is a discernible cause that leads to congestion and further loss of information. An analytical model that estimates the probability of packet loss incurred due to buffer overflow in patient-centric resource-constraint IoT-healthcare networks has been presented. The buffer-loss probability, the number of packets lost, and the total number of packets received at the local sink are calculated in the results.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-023-10178-w