Paper Info
Title
Asynchronous Binary Compressive Sensing for Wireless Body Sensor Networks
Abstract
Next-generation Wireless Body Sensor Networks (WBSNs) calls for miniaturization and power-efficient integration for long-term monitoring, real-time diagnostics and patient-centered healthcare solutions. However, state-of-the-art WBSN prototypes remain challenged by stringent power constraints and large form factors. The recently proposed asynchronous compressive sensing scheme suggests an efficient way to improve power consumption by reducing the data volume in energy-hungry radio links. In this paper, we present a modified front-end called Asynchronous Binary Compressive Sensing (ABCS) for WBSNs. A low-cost reconstruction method is proposed that exploits the embedded binary signal structure in the ABCS. By incorporating binary amplitude as a prior, better signal recovery performance is obtained comparing with the traditional approaches. Analyses and simulations with an ECG recording confirm the ABCS front-end outperforms the conventional CS approaches in terms of hardware complexity, power consumption and system flexibility.
Year
DOI
Venue
2013
10.1109/MSN.2013.14
MSN
Keywords
Field
DocType
embedded binary signal structure,stringent power constraint,abcs front-end,wireless body sensor networks,next-generation wireless body sensor,ecg recording,asynchronous binary compressive sensing,power consumption,modified front-end,binary amplitude,better signal recovery performance,iterative methods,compressed sensing
Key distribution in wireless sensor networks,Asynchronous communication,Wireless,Computer science,Iterative method,Electronic engineering,Miniaturization,Wireless sensor network,Compressed sensing,Binary number,Embedded system,Distributed computing
Conference
Citations 
PageRank 
References 
0
0.34
19
Authors
2
Name
Order
Citations
PageRank
Jun Zhou143.47
Sebastian Hoyos223429.24