Imperial College London
Alternate

DrDavidBoyle

Faculty of Engineering, Dyson School of Design Engineering

Senior Lecturer
 
 
 
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Contact

 

david.boyle Website

 
 
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Location

 

1M04ARoyal College of ScienceSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Magno:2014:10.1109/TII.2013.2295198,
author = {Magno, M and Boyle, D and Brunelli, D and Popovici, E and Benini, L},
doi = {10.1109/TII.2013.2295198},
journal = {IEEE Transactions on Industrial Informatics},
pages = {946--956},
title = {Ensuring Survivability of Resource-Intensive Sensor Networks Through Ultra-Low Power Overlays},
url = {http://dx.doi.org/10.1109/TII.2013.2295198},
volume = {10},
year = {2014}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Nodes in wireless sensor networks (WSNs) typically have limited power supply and networks are often expected to be functional for extended periods. Therefore, the minimization of energy consumption and the maximization of network lifetime are key objectives in WSN. This paper proposes an overlay, energy optimized, sensor network to extend the functional lifetime of an energy-intensive sensor network application. The overlay network consists of additional nodes that exploit recent advances in energy harvesting and wake-up radio technologies, coupled with an application specific, complementary, ultra-low power sensor. The experimental results and simulations demonstrate that this approach can ensure survivability of energy-inefficient sensor networks. Simulating applications using energy-intensive video cameras and air quality sensors, combined with the proposed overlayed ultra-low power sensor network, demonstrates that this approach can increase functional lifetime toward perpetual operation and is suitable for WSN applications in which complementarity exists between the required energy-intensive sensors and low-cost sensors that can be used as triggers.
AU  - Magno,M
AU  - Boyle,D
AU  - Brunelli,D
AU  - Popovici,E
AU  - Benini,L
DO  - 10.1109/TII.2013.2295198
EP  - 956
PY  - 2014///
SN  - 1551-3203
SP  - 946
TI  - Ensuring Survivability of Resource-Intensive Sensor Networks Through Ultra-Low Power Overlays
T2  - IEEE Transactions on Industrial Informatics
UR  - http://dx.doi.org/10.1109/TII.2013.2295198
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000336669800010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://ieeexplore.ieee.org/document/6687258
VL  - 10
ER  -
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