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Improving Estimation Performance in Networked Control Systems Applying the Send-on-delta Transmission Method.

Vinh Hao Nguyen¹, Young Soo Suh²

¹Department of Electrical Engineering, University of Ulsan, Namgu, Ulsan 680-749, Korea. vinhhao@hcmut.edu.vn.

Sensors (Basel, Switzerland)

|September 15, 2017

Summary

This summary is machine-generated.

This study enhances network state estimation using send-on-delta (SOD) by refining data uncertainty intervals. The new algorithm reduces estimation error without altering existing SOD sensor transmission methods.

Keywords:

Estimation Kalman filter Send-on-delta.Sensor networks

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Area of Science:

Control Systems Engineering
Networked Systems
Signal Processing

Background:

Send-on-delta (SOD) is used for network bandwidth efficiency.
SOD transmits sensor data only when measurements exceed a threshold (δ).
Irregular data reception in SOD can lead to estimation errors.

Purpose of the Study:

To reduce state estimation error in networks using SOD.
To improve estimation performance without modifying sensor node SOD algorithms.

Main Methods:

Proposing a novel algorithm to narrow the uncertainty interval of sensor values when data is not received.
Reducing the interval from (-δᵢ, δᵢ) to (-δᵢ/2, δᵢ/2) under specific conditions.

Main Results:

The proposed algorithm successfully reduces estimation error.
Numerical simulations confirm the method's feasibility and usefulness.
Overall estimation performance is improved.

Conclusions:

The developed algorithm enhances state estimation accuracy in SOD networks.
It offers improved performance without requiring changes to the SOD transmission protocol.
This approach provides a valuable method for optimizing networked estimation systems.