Polynomial Regression Techniques for Environmental Data Recovery in Wireless Sensor Networks

Polynomial Regression Techniques for Environmental Data Recovery in Wireless Sensor Networks

In the near feature, large-scale wireless sensor networks will play an important role in our lives by monitoring our environment with large numbers of sensors. However, data loss owing to data collision between the sensor nodes and electromagnetic noise need to be addressed. As the interval of aggr...

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Bibliographic Details
Main Authors: Kohei Ohba, Yoshihiro Yoneda, Koji Kurihara, Takashi Suganuma, Hiroyuki Ito, Noboru Ishihara, Kunihiko Gotoh, Koichiro Yamashita, Kazuya Masu
Format: Article
Language:English
Published: IFSA Publishing, S.L. 2016-04-01
Series:Sensors & Transducers
Subjects:
Wireless sensor networks
Data loss
Polynomial regression
Data recovery
Environment monitoring.
Online Access:http://www.sensorsportal.com/HTML/DIGEST/april_2016/Vol_199/P_2810.pdf

Internet

http://www.sensorsportal.com/HTML/DIGEST/april_2016/Vol_199/P_2810.pdf

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