DocumentCode :
3722074
Title :
Traffic deduction exploring sensor data´s intra-correlations in train track monitoring WSN
Author :
Zhi Liu;Toshitaka Tsuda;Hiroshi Watanabe
Author_Institution :
Global Information and Telecommunication Institute, Waseda University, Tokyo, 169-8555 Japan
fYear :
2015
Firstpage :
1
Lastpage :
4
Abstract :
WSNs are good options to help monitor the scene of interest and notify the unusual happening to control center. But sensors´ high sampling rates lead to tremendous network traffic over the bandwidth-limited and energy-critical WSNs, hence how to reduce the network traffic while maintaining the unusual events monitoring function becomes important. In this paper, we investigate the intra-correlations of the data generated by each sensor at different time instances. And we propose a traffic deduction algorithm exploring the sensor data´s intra-correlations which could reduce the data volume significantly and guarantee the parameters needed for unusual detection are delivered.
Keywords :
"Wireless sensor networks","Monitoring","Acceleration","Correlation","Vibrations","Energy consumption","Yttrium"
Publisher :
ieee
Conference_Titel :
SENSORS, 2015 IEEE
Type :
conf
DOI :
10.1109/ICSENS.2015.7370621
Filename :
7370621
Link To Document :
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