Networked Estimation for Event-Based Sampling Systems with Packet Dropouts

This 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 a...

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Main Authors: Young Soo Suh, Vinh Hao Nguyen
Format: Article
Language:English
Published: MDPI AG 2009-04-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/9/4/3078/
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author Young Soo Suh
Vinh Hao Nguyen
author_facet Young Soo Suh
Vinh Hao Nguyen
author_sort Young Soo Suh
collection DOAJ
description This 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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spelling doaj.art-0fe3ac6a509745bfac334f14854e77712022-12-22T02:54:33ZengMDPI AGSensors1424-82202009-04-01943078308910.3390/s90403078Networked Estimation for Event-Based Sampling Systems with Packet DropoutsYoung Soo SuhVinh Hao NguyenThis 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.http://www.mdpi.com/1424-8220/9/4/3078/Networked estimationevent-based samplingsend-on-deltapacket dropout
spellingShingle Young Soo Suh
Vinh Hao Nguyen
Networked Estimation for Event-Based Sampling Systems with Packet Dropouts
Sensors
Networked estimation
event-based sampling
send-on-delta
packet dropout
title Networked Estimation for Event-Based Sampling Systems with Packet Dropouts
title_full Networked Estimation for Event-Based Sampling Systems with Packet Dropouts
title_fullStr Networked Estimation for Event-Based Sampling Systems with Packet Dropouts
title_full_unstemmed Networked Estimation for Event-Based Sampling Systems with Packet Dropouts
title_short Networked Estimation for Event-Based Sampling Systems with Packet Dropouts
title_sort networked estimation for event based sampling systems with packet dropouts
topic Networked estimation
event-based sampling
send-on-delta
packet dropout
url http://www.mdpi.com/1424-8220/9/4/3078/
work_keys_str_mv AT youngsoosuh networkedestimationforeventbasedsamplingsystemswithpacketdropouts
AT vinhhaonguyen networkedestimationforeventbasedsamplingsystemswithpacketdropouts