Title
Collaborative State Estimation and Actuator Scheduling for Cyber-Physical Systems Under Random Multiple Events.
Abstract
The design of fast and effective coordination among sensors and actuators in Cyber-Physical Systems (CPS) is a fundamental, but challenging issue, especially when the system model is a priori unknown and multiple random events can simultaneously occur. We propose a novel collaborative state estimation and actuator scheduling algorithm with two phases. In the first phase, we propose a Gaussian Mixture Model (GMM)-based method using the random event physical field distribution to estimate the locations and the states of events. In the second phase, based on the number of identified events and the number of available actuators, we study two actuator scheduling scenarios and formulate them as Integer Linear Programming (ILP) problems with the objective to minimize the actuation delay. We validate and demonstrate the performance of the proposed scheme through both simulations and physical experiments for a home temperature control application.
Year
DOI
Venue
2018
10.1007/978-3-030-00247-3_24
AD-HOC, MOBILE, AND WIRELESS NETWORKS (ADHOC-NOW 2018)
Keywords
Field
DocType
Cyber-Physical Systems,Gaussian Mixture Model,Event estimation,Actuator scheduling
Mathematical optimization,Scheduling (computing),Computer science,A priori and a posteriori,Temperature control,Integer programming,Cyber-physical system,Mixture model,System model,Distributed computing,Actuator
Conference
Volume
ISSN
Citations 
11104
0302-9743
0
PageRank 
References 
Authors
0.34
8
3
Name
Order
Citations
PageRank
Lei Mo1297.35
Angeliki Kritikakou26612.85
Xianghui Cao355543.42