NDLI: A Prioritization Based Congestion Control Protocol for Healthcare Monitoring Application in Wireless Sensor Networks

Content Provider	Springer Nature Link
Author	Yaghmaee, Mohammad Hossein Bahalgardi, Nazbao Farzaneh Adjeroh, Donald
Copyright Year	2013
Abstract	Recent developments in biosensor and wireless technology have led to a rapid progress in wearable real time health monitoring. Unlike wired networks, wireless networks are subject to more packet loss and congestion. In this paper, we propose a congestion control and service prioritization protocol for real time monitoring of patients’ vital signs using wireless biomedical sensor networks. The proposed system is able to discriminate between physiological signals and assign them different priorities. Thus, it would be possible to provide a better quality of service for transmitting highly important vital signs. Congestion control is performed by considering both the congestion situation in the parent node and the priority of the child nodes in assigning network bandwidth to signals from different patients. Given the dynamic nature of patients’ health conditions, the proposed system can detect an anomaly in the received vital signs from a patient and hence assign more priority to patients in need. Simulation results confirm the superior performance of the proposed protocol. To our knowledge, this is the first attempt at a special-purpose congestion control protocol specifically designed for wireless biosensor networks.
Starting Page	2605
Ending Page	2631
Page Count	27
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	72
Issue Number	4
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2013-04-16
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Wireless biomedical sensor networks Wearable healthcare monitoring Priority-based congestion control Learning automata Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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