Next Article in Journal
Next Article in Special Issue
Previous Article in Journal
Previous Article in Special Issue
Sensors 2007, 7(4), 537-547; doi:10.3390/s7040437
Article

Send-On-Delta Sensor Data Transmission With A Linear Predictor

Received: 3 April 2007; Accepted: 24 April 2007 / Published: 26 April 2007
(This article belongs to the Special Issue Intelligent Sensors)
View Full-Text   |   Download PDF [143 KB, uploaded 21 June 2014]   |   Browse Figures
Abstract: This paper is concerned with sensor data transmission strategy. The main focus of the paper is how to reduce the number of sensor data transmission while maintaining the dif- ference between the estimated sensor value and the real sensor value. The proposed method could be used in sensor networks and networked control systems, where number of transmis- sion should be minimal. A linear predictor is used to predict sensor values and sensor data are transmitted if the difference between the predicted sensor value and the real sensor value exceeds the specified limit. An analytic upper bound of the mean rate of messages is pro- vided. Through simulation, it is shown that the number of transmission could be significantly reduced compared with the periodic sampling and the conventional send-on-delta method.
Keywords: data acquisition; signal sampling; linear prediction data acquisition; signal sampling; linear prediction
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Suh, Y.S. Send-On-Delta Sensor Data Transmission With A Linear Predictor. Sensors 2007, 7, 537-547.

AMA Style

Suh YS. Send-On-Delta Sensor Data Transmission With A Linear Predictor. Sensors. 2007; 7(4):537-547.

Chicago/Turabian Style

Suh, Young S. 2007. "Send-On-Delta Sensor Data Transmission With A Linear Predictor." Sensors 7, no. 4: 537-547.



Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert