Paper Info
Title
Distributed Fusion Estimator Over Sensor Networks With Stochastic Event-Triggered Scheduling
Abstract
This paper deals with the state estimation fusion problem for stochastic continuous-time systems over wireless sensor networks (WSNs) with multi-sensor scheduling. Due to the power limitation and communication constraints in WSNs, a closed-loop stochastic event-triggered mechanism is designed to reduce the redundant data transmission. Since this design preserves the Gaussian property of the conditional distribution of the system state, an exact minimum mean square error (MMSE) estimator could be presented for every sensor subsystem. Then, the distributed event-triggered information fusion estimator is proposed based on maximum a posterior probability criterion by a matrix-weighted combination of all available local estimates from sensor subsystems. The proposed distributed algorithm has advantages on reliability, computation efficiency due to the netted parallel structure. A numerical simulation is conducted to illustrate the effectiveness of the proposed distributed estimator.
Year
DOI
Venue
2018
10.1109/ICARCV.2018.8581342
2018 15TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV)
Field
DocType
ISSN
Conditional probability distribution,Data transmission,Control theory,Computer science,Scheduling (computing),Minimum mean square error,Algorithm,Posterior probability,Distributed algorithm,Wireless sensor network,Estimator
Conference
2474-2953
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Zengwang Jin121.74
Yanyan Hu2112.59
Fen Zhang300.34
Changyin Sun42002157.17