Title
A secure and scalable telemonitoring system using ultra-low-energy wireless sensor interface for long-term monitoring in life science applications
Abstract
A scalable telemonitoring system for secure long-term monitoring of signals in life-science applications is presented that enables unobtrusive remote patient monitoring with small and lightweight general-purpose sensor nodes. Sensor data are sent to a retail smartphone via the ultra-low-energy wireless ANT protocol and forwarded over 2G, 3G or Wi-Fi to the cloud-based IPM-mHealth Portal that provides services for administration, communication, live visualization and data analysis. Additional protocols improve reliability and flexibility of the ANT interface and all wireless transmissions are encrypted by either SSL or the computationally lightweight Hummingbird 2 (HB2) cipher. On-sensor data compression is applied to minimize communication energy. Experimental data show performance and energy balance of the ANT-based sensor interface and quantify the HB2 encryption overhead.
Year
DOI
Venue
2013
10.1109/CoASE.2013.6653979
Automation Science and Engineering
Keywords
Field
DocType
3G mobile communication,cryptography,data compression,patient monitoring,protocols,smart phones,telecommunication network reliability,telemedicine,wireless LAN,2G mobile communication,3G mobile communication,HB2 cipher,HB2 encryption overhead,Wi-Fi,administration services,cloud-based IPM-mHealth Portal,communication energy,communication services,computationally lightweight Hummingbird 2,data analysis,life science applications,live visualization,long-term monitoring,on-sensor data compression,reliability,scalable telemonitoring system,secure telemonitoring system,sensor nodes,smartphone,ultralow-energy wireless ANT protocol,ultralow-energy wireless sensor interface,unobtrusive remote patient monitoring,wireless transmissions
Key distribution in wireless sensor networks,Wireless,Cryptography,Remote patient monitoring,Computer network,Encryption,Engineering,Wi-Fi array,Embedded system,Scalability,Cloud computing
Conference
ISSN
Citations 
PageRank 
2161-8070
3
0.44
References 
Authors
8
4
Name
Order
Citations
PageRank
Wei Zhang11221180.16
Passow, P.230.44
Jovanov, E.330.44
Stoll, R.430.77