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@BOOK{Schlsser:829550,
author = {Schlösser, Mario},
title = {{I}mplementierung eines {F}unk-{P}rotokolls ({IEEE}
802.15.4) und {E}ntwicklung eines adaptiven
{Z}eitsynchronisationsverfahrens für ein {N}etzwerk
intelligenter und autarker {S}ensoren},
volume = {5},
address = {Jülich},
publisher = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
reportid = {FZJ-2017-03235},
isbn = {978-3-89336-519-7},
series = {Schriftenreihen des Forschungszentrums Jülich. Reihe
Gesundheit / Health},
pages = {77 S.},
year = {2008},
abstract = {Implementation of a RF-Protocol (IEEE 802.15.4) and
Development of an Adaptive Time Synchronisation Method for a
Network of Intelligent and Autarkic Sensors Understanding
the extremely precise auditory based 3D-orientation of Barn
Owls is an outstanding challenge in neurophysiological
research. For this purpose as well as for the
instrumentation of neurological rehabilitation and sleep
research our miniaturized intelligent Sensor and Actuator
Network for Life science Applications (iSANLA) will form a
solid foundation providing sample rates up to 16 kHz. Based
on the IEEE 802.15.4 wireless standard a compact
communication protocol as part of the so called intelligent
Network Operating Device (iNODE) has been developed and
implemented to run on the ultra low power microcontroller
platform MSP430 from Texas Instruments. Embedded into the
preliminary developed frame based operating system (FRABOS)
this protocol allows bidirectional communication between
each sensor node and a PC within a star topology. Therefore
only 7kByte flash of the MCU resources are needed to achieve
a net data rate of 141kBit/s. A time synchronization
protocol based on the Reference Broadcast Synchronization
(RBS) has been developed in order to merge the acquired data
of the distributed iNODE preserving causality. Hence the
time synchronous start of the data acquisition inside a
network of multiple sensors with a precision better than the
highest sample rate is a must . The development of this
adaptive time synchronization protocol ensures synchronous
measurement start and a frame based duty cycle adjustment
with an appropriate precision proven by a jitter below 2ps.
Overall the implemented Ultra Small Stack communication
protocol creates an avenue for live-streaming 8 kHz
measurements with up to 16Bit accuracy and provides enormous
potential for future bio medical and neurophysiological
applications.},
organization = {Jülich (Germany)},
cin = {ZEA-2},
cid = {I:(DE-Juel1)ZEA-2-20090406},
pnm = {344 - Clinical and Health Care Research (POF3-344)},
pid = {G:(DE-HGF)POF3-344},
typ = {PUB:(DE-HGF)3},
url = {https://juser.fz-juelich.de/record/829550},
}