DocumentCode :
496173
Title :
Performance evaluation of a ZigBee-based medical sensor network
Author :
Fernandez-López, Helena ; Macedo, Pedro ; Afonso, José A. ; Correia, J.H. ; Simoes, Ricardo
Author_Institution :
Ind. Electron. Eng. Dept., Univ. of Minho, Guimarães, Portugal
fYear :
2009
fDate :
1-3 April 2009
Firstpage :
1
Lastpage :
4
Abstract :
Low power consumption and small footprint make 802.15.4/ZigBee based devices well suited for personal healthcare applications, representing a promising alternative to patient monitoring under important scenarios such as emergency, post-op, continuous care, and chronic diseases. However, their use in a healthcare facility to monitor several mobile patients poses several difficulties, mainly because this protocol was primarily designed to operate in low data rate scenarios. This paper presents simulation results used to evaluate important quality of service (QoS) markers and, ultimately, estimate the maximum number of sensors that could integrate a wireless vital signs monitoring system. Results show that the system is able to carry the signals from 30 ECG sensors with delivery ratio higher than 99% in the considered scenario, provided that an adequate number of retransmissions are allowed.
Keywords :
Zigbee; biomedical telemetry; health care; patient monitoring; performance evaluation; quality of service; wireless sensor networks; ECG sensors; IEEE 802.15.4; QoS; ZigBee-based medical sensor network; chronic diseases; healthcare facility; low data rate scenarios; low power consumption; mobile patients; patient monitoring; performance evaluation; personal healthcare; protocol; quality of service; wireless vital sign monitoring system; Biomedical monitoring; Diseases; Energy consumption; Medical services; Patient monitoring; Protocols; Quality of service; Sensor systems; Wireless sensor networks; ZigBee; Vital signals monitoring; ZigBee; performance evaluation; quality of service; wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing Technologies for Healthcare, 2009. PervasiveHealth 2009. 3rd International Conference on
Conference_Location :
London
Print_ISBN :
978-963-9799-42-4
Electronic_ISBN :
978-963-9799-30-1
Type :
conf
DOI :
10.4108/ICST.PERVASIVEHEALTH2009.6002
Filename :
5191164
Link To Document :
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