Research on Distributed Multi-Sensor Cooperative Scheduling Model Based on Partially Observable Markov Decision Process

Research on Distributed Multi-Sensor Cooperative Scheduling Model Based on Partially Observable Markov Decision Process

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In the context of distributed defense, multi-sensor networks are required to be able to carry out reasonable planning and scheduling to achieve the purpose of continuous, accurate and rapid target detection. In this paper, a multi-sensor cooperative scheduling model based on the partially observable...

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Bibliographic Details
Main Authors: Luo, R. (Author), Wu, J. (Author), Zhang, Z. (Author), Zhao, Y. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Cooperative scheduling
distributed defense
Distributed defense
intelligent optimization algorithm
Intelligent optimization algorithm
Markov processes
Model-based OPC
Monte Carlo methods
Multi sensor
Multi-sensor networks
multi-sensor scheduling
Multi-sensor scheduling
Network security
Optimization
partially observable Markov decision process
Partially observable Markov decision process
Scheduling
Scheduling algorithms
Scheduling models
Sensor networks
Sensor scheduling
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