DocumentCode :
31503
Title :
Ensuring Survivability of Resource-Intensive Sensor Networks Through Ultra-Low Power Overlays
Author :
Magno, M. ; Boyle, David ; Brunelli, Davide ; Popovici, Emanuel ; Benini, Luca
Author_Institution :
Dept. of Electr., Electron., & Inf. Eng. (DEI), Univ. of Bologna, Bologna, Italy
Volume :
10
Issue :
2
fYear :
2014
fDate :
May-14
Firstpage :
946
Lastpage :
956
Abstract :
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.
Keywords :
energy harvesting; telecommunication power management; wireless sensor networks; WSN; air quality sensors; energy consumption; energy harvesting; energy optimized; energy-inefficient sensor networks; energy-intensive sensor network application; energy-intensive sensors; energy-intensive video cameras; network lifetime; resource-intensive sensor networks; ultra-low power overlays; ultra-low power sensor; wake-up radio technologies; wireless sensor networks; Batteries; Energy harvesting; Hardware; Low-power electronics; Microcontrollers; Power demand; Wireless sensor networks; Energy efficiency; multi-source energy harvesters; overlay networks; power electronics; power management; wake-up radio; wireless sensor networks (WSNs);
fLanguage :
English
Journal_Title :
Industrial Informatics, IEEE Transactions on
Publisher :
ieee
ISSN :
1551-3203
Type :
jour
DOI :
10.1109/TII.2013.2295198
Filename :
6687258
Link To Document :
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