Networked Estimation for Event-Based Sampling Systems with Packet Dropouts
AbstractThis paper is concerned with a networked estimation problem in which sensor data are transmitted over the network. In the event-based sampling scheme known as level-crossing or send-on-delta (SOD), sensor data are transmitted to the estimator node if the difference between the current sensor value and the last transmitted one is greater than a given threshold. Event-based sampling has been shown to be more efficient than the time-triggered one in some situations, especially in network bandwidth improvement. However, it cannot detect packet dropout situations because data transmission and reception do not use a periodical time-stamp mechanism as found in time-triggered sampling systems. Motivated by this issue, we propose a modified event-based sampling scheme called modified SOD in which sensor data are sent when either the change of sensor output exceeds a given threshold or the time elapses more than a given interval. Through simulation results, we show that the proposed modified SOD sampling significantly improves estimation performance when packet dropouts happen.
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Nguyen, V.H.; Suh, Y.S. Networked Estimation for Event-Based Sampling Systems with Packet Dropouts. Sensors 2009, 9, 3078-3089.
Nguyen VH, Suh YS. Networked Estimation for Event-Based Sampling Systems with Packet Dropouts. Sensors. 2009; 9(4):3078-3089.Chicago/Turabian Style
Nguyen, Vinh Hao; Suh, Young Soo. 2009. "Networked Estimation for Event-Based Sampling Systems with Packet Dropouts." Sensors 9, no. 4: 3078-3089.