Abstract

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.

Highlights

  • Recent works have discussed event-driven alternatives to traditional time-triggered sampling schemes

  • In a very recent study [13], the optimal H2 filtering problems associated respectively with possible delay of one sampling period, uncertain observations and multiple packet dropouts are studied under a unified framework

  • In conventional event-based sampling systems, called send-on-delta (SOD) sampling [5,6,7], the issues of network delay and packet loss are difficult to solve because data transmission and reception do not use a periodical time-stamp mechanism as in the time-triggered sampling systems

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Summary

Introduction

Recent works have discussed event-driven alternatives to traditional time-triggered sampling schemes. In conventional event-based sampling systems, called send-on-delta (SOD) sampling [5,6,7], the issues of network delay and packet loss are difficult to solve because data transmission and reception do not use a periodical time-stamp mechanism as in the time-triggered sampling systems. Motivated by those issues, in this paper, we introduce a modified SOD sampling scheme in which the event-driven sampling is combined with a time-triggered sampling scheme to detect packet dropouts. SOD sampling scheme gives better estimation performance than the conventional SOD one when packet loss happens

Modified SOD Sampling Scheme
Multiple packet dropouts detection
State Estimation with Modified SOD Transmission Method
Measurement noise increased due to multiple packet dropouts
State estimation
Estimation error covariance due to packet dropouts
Simulation
Findings
Conclusions
Full Text
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