DocumentCode :
2411452
Title :
A New Ultra-Low Power Wireless Sensor Network with Integrated Energy Harvesting, Data Sensing, and Wireless Communication
Author :
Wu, Jingxian ; Zhou, Guoqing
Author_Institution :
Dept. of Electr. Eng., Univ. of Arkansas, Fayetteville, AR, USA
fYear :
2011
fDate :
5-9 June 2011
Firstpage :
1
Lastpage :
5
Abstract :
A new ultra-low power (ULP) wireless sensor network (WSN) structure is proposed to monitor the vibration properties of civil structures, such as buildings and bridges. The new scheme integrates energy harvesting, data sensing, and wireless communication into a unified process, and it is fundamentally different from all the existing WSNs. In the new WSN, piezoelectric sensors are employed to harvest vibration energy and measure vibration intensity simultaneously, by utilizing the fact that the harvested energy accumulated through time is proportional to the vibration amplitude and frequency. Once the harvested energy reaches a threshold, it is released as an impulse with a wireless transmitter. An estimate of the structure vibration intensity can then be obtained by measuring the intervals between the binary impulses. Such an approach does not require complicated analog-to-digital conversion or signal processing, and it can achieve an ULP performance unrivaled by existing technologies. Optimum and sub-optimum impulse density estimation algorithms are proposed for the FC to take advantage of the spatial correlation among the sensors. Exact analytical expressions of the optimum estimation mean square error (MSE) are derived. Simulation and analytical results demonstrate that the proposed scheme can achieve a MSE of 5× 10-5 at a signal-to-noise-ratio of -8 dB for a 10-node WSN.
Keywords :
energy harvesting; mean square error methods; piezoelectric devices; radiocommunication; structural engineering; vibration measurement; vibrations; wireless sensor networks; MSE; ULP performance; WSN; civil structures; data sensing; integrated energy harvesting; mean square error; piezoelectric sensors; spatial correlation; ultra-low power wireless sensor network; vibration energy; vibration properties; wireless communication; wireless transmitter; Correlation; Estimation; Peer to peer computing; Sensors; Vibrations; Wireless communication; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2011 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1550-3607
Print_ISBN :
978-1-61284-232-5
Electronic_ISBN :
1550-3607
Type :
conf
DOI :
10.1109/icc.2011.5962787
Filename :
5962787
Link To Document :
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