NDLI: Performance evaluation of wearable wireless body area networks during walking motions in 444.5 MHz and 2450 MHz

Content Provider	IEEE Xplore Digital Library
Author	Takizawa, K. Watanabe, K. Kumazawa, M. Hamada, Y. Ikegami, T. Hamaguchi, K.
Copyright Year	2010
Description	Author affiliation: Medical ICT Group, National Institute of Information and Communications Technology (NICT), 3-4 Hikarino-oka, Kanagawa, 2390847 Japan (Takizawa, K.; Hamaguchi, K.) \|\| Meiji University, Japan (Watanabe, K.; Kumazawa, M.; Hamada, Y.; Ikegami, T.)
Abstract	This paper gives performance evaluation of wearable wireless body area networks (WBANs) during walking motion. In order to evaluate the performance, received signal strength (RSS), packet error rate (PER), and bit error rate (BER) are measured in an anechoic chamber and an office room. This measurement is conducted in the frequency band of 444.5 and 2450 MHz by using GFSK signal with symbol rate of 1 MHz. The results show that in the anechoic chamber the WBAN using the 444.5 MHz enables to provide error-free communication, on the other hand, the WBAN operated in the 2450 MHz faces packet errors. Measurement results in the office room give comparable performance between these frequencies. From these observations, the use of 2450 MHz for wearable WBANs needs reflection waves in order to compensate a shadowing effect caused by the human body using the WBAN.
Starting Page	370
Ending Page	373
File Size	1581862
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5627951
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bit error rate Antenna measurements Particle measurements Atmospheric measurements Anechoic chambers Frequency measurement Wrist
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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