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Erschienen in:
Introduction to Ultra Low Power Transceiver Design Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

Channel Modeling for Wireless Body Area Networks

verfasst von : David B. Smith, Leif W. Hanlen

Erschienen in: Ultra-Low-Power Short-Range Radios

Verlag: Springer International Publishing

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Abstract

Wireless body area networks (BANs) are the latest generation of personal area networks (PANs) and describe radio networks of sensors, and/or actuators, placed in, on, around and some-times near the human body. BANs are motivated by the health-care application domain where reliable, long-term, operation is paramount. Hence understanding, and modeling, the body-area radio propagation channel is vital. In this chapter we describe channel models for wireless body area networks, in terms of operating scenarios—including on the human body, off the body, in the body, and body-to-body (or interfering); carrier frequencies from hundreds of MHz to several GHz; and bandwidth of operation, including narrowband and ultra-wideband. We describe particular challenges for accurate channel modeling such as the absence of wide-sense-stationarity in typical on-body narrowband BANs. We describe results following from a large amount of empirical data, and demonstrate that the BAN channel is dominated by shadowing with slowly-changing dynamics. Finally two particularly challenging scenarios for BAN operation are described: sleep-monitoring and also where there is a large number of co-located BANs.

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Vorheriges Kapitel Introduction to Ultra Low Power Transceiver Design
Nächstes Kapitel Circuit Techniques for Ultra-Low Power Radios
Fußnoten
1
However, we note that for typical IR-UWB, broadband, communications, IEEE 802.15.6 compliant, there are approximately ten resolvable channel taps.
 
2
Please note this maximum Tx power is a requirement in the standard.
 
3
According to the ratio of the first two bars for each of these in Fig. 2 (only considering those distributions tested ten or more times.)
 
4
The negative effects of multipath are more common in UWB as there is increased inter-symbol interference (ISI) with its higher sampling rates.
 
5
This is corroborated by results for 5 on-body sensors in [11].
 
6
As wide-sense-stationarity is generally considered to be both necessary and sufficient for nth-order statistical channel characterization across time.
 
7
Hence this function is not limited to propagation data.
 
8
Level-crossing interval is the inverse of level crossing rate.
 
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Metadaten
Titel
Channel Modeling for Wireless Body Area Networks
verfasst von
David B. Smith
Leif W. Hanlen
Copyright-Jahr
2015
Buch
Ultra-Low-Power Short-Range Radios

Print ISBN: 978-3-319-14713-0

Electronic ISBN: 978-3-319-14714-7

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-14714-7_2

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