Energy-Efficient Low Duty Cycle MAC Protocol for Wireless Body Area Networks

This paper presents an energy-efficient medium access control protocol suitable for communication in a wireless body area network for remote monitoring of physiological signals such as EEG and ECG. The protocol takes advantage of the static nature of the body area network to implement the effective...

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Bibliographic Details
Published in:IEEE journal of biomedical and health informatics 2009-11, Vol.13 (6), p.915-925
Main Authors: Marinkovic, Stevan Jovica, Popovici, Emanuel Mihai, Spagnol, Christian, Faul, Stephen, Marnane, William Peter
Format: Article
Language:English
Subjects:
Access control
Access protocols
Algorithms
Biomedical monitoring
Body area networks (BANs)
Body sensor networks
Computer Simulation
Electric Power Supplies
Electroencephalography
Energy consumption
Energy efficiency
Humans
Media Access Protocol
medium access control (MAC) protocol
Models, Theoretical
Monitoring, Ambulatory - instrumentation
Monte Carlo Method
Remote monitoring
Reproducibility of Results
Technological change
Telemetry - instrumentation
Time division multiple access
Wireless application protocol
wireless sensor networks
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Summary:This paper presents an energy-efficient medium access control protocol suitable for communication in a wireless body area network for remote monitoring of physiological signals such as EEG and ECG. The protocol takes advantage of the static nature of the body area network to implement the effective time-division multiple access (TDMA) strategy with very little amount of overhead and almost no idle listening (by static, we refer to the fixed topology of the network investigated). The main goal is to develop energy-efficient and reliable communication protocol to support streaming of large amount of data. TDMA synchronization problems are discussed and solutions are presented. Equations for duty cycle calculation are also derived for power consumption and battery life predictions. The power consumption model was also validated through measurements. Our results show that the protocol is energy efficient for streaming communication as well as sending short bursts of data, and thus can be used for different types of physiological signals with different sample rates. The protocol is implemented on the analog devices ADF7020 RF transceivers.
ISSN:1089-7771
2168-2194
1558-0032
2168-2208
DOI:10.1109/TITB.2009.2033591