Hierarchical Neuro-Game Model of the FANET Based Remote Monitoring System Resources Balancing

  • Vladimir A. SerovEmail author
  • Evgeny M. VoronovEmail author
  • Dmitry A. Kozlov
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 261)


The article discusses the basic principles of the methodology for the resource control optimizing of the remote monitoring system based on the FANET (Flying Ad Hoc Network) in real time. The hierarchical game model of optimization of control of system resources in the conditions of uncertainty on the basis of the coordinated stably-effective compromises is developed. The problem of synthesis of game algorithms of load balancing in communication channels based on neural networks of radial basis functions is solved. The developed situational model and neurofeedback algorithms provide structural adaptation of the system to the changing operating conditions and a given level of time delays in communication channels under the conditions of uncertainty of the input data queues.


FANET (Flying Ad Hoc Network) Remote monitoring system Unmanned aerial vehicle Neural network control Neural network of radial basis functions Hierarchical game under uncertainty with the right of the first move Coordinated stable-effective compromise Robast quality assurance 


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.MIREA—Russian Technological UniversityMoscowRussia
  2. 2.Bauman Moscow State Technical UniversityMoscowRussia

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