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Author Zhi Liu ♦ Tsuda, T. ♦ Watanabe, H.
Sponsorship IEEE
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Applied physics
Subject Keyword Wireless sensor networks ♦ Monitoring ♦ Acceleration ♦ Correlation ♦ Vibrations ♦ Energy consumption ♦ Yttrium
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.
Description Author affiliation: Global Inf. & Telecommun. Inst., Waseda Univ., Tokyo, Japan (Zhi Liu; Tsuda, T.) || Dept. of Commun. & Comput. Eng., Waseda Univ., Tokyo, Japan (Watanabe, H.)
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-11-01
Publisher Place South Korea
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781479982035
Size (in Bytes) 811.73 kB
Page Count 4
Starting Page 1
Ending Page 4


Source: IEEE Xplore Digital Library