casa 16(7): e3

Research Article

A federation of simulations based on cellular automata in cyber-physical systems

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  • @ARTICLE{10.4108/eai.12-2-2016.151086,
        author={Hoang Van Tran and Hiep Xuan Huynh and Vinh Cong Phan and Bernard Pottier},
        title={A federation of simulations based on cellular automata in cyber-physical systems},
        journal={EAI Endorsed Transactions on Context-aware Systems and Applications},
        keywords={Cyber-physical system (CPS), cellular automata (CA), federation, high-level architecture (HLA), mixed simulations},
  • Hoang Van Tran
    Hiep Xuan Huynh
    Vinh Cong Phan
    Bernard Pottier
    Year: 2016
    A federation of simulations based on cellular automata in cyber-physical systems
    DOI: 10.4108/eai.12-2-2016.151086
Hoang Van Tran1,*, Hiep Xuan Huynh1, Vinh Cong Phan2, Bernard Pottier3
  • 1: Department of Software Engineering, College of Information & Communication Technology, Cantho University, Cantho city, Vietnam
  • 2: Department of Computer Engineering, Faculty of Information Technology, Nguyen Tat Thanh University, Hochiminh city, Vietnam
  • 3: D√©partement Informatique, Universit√© de Bretagne Occidentale, Brest, France
*Contact email:


In cyber-physical system (CPS), cooperation between a variety of computational and physical elements usually poses difficulties to current modelling and simulation tools. Although much research has proposed to address those challenges, most solutions do not completely cover uncertain interactions in CPS. In this paper, we present a new approach to federate simulations for CPS. A federation is a combination of, and coordination between simulations upon a standard of communication. In addition, a mixed simulation is defined as several parallel simulations federated in a common time progress. Such simulations run on the models of physical systems, which are built based on cellular automata theory. The experimental results are performed on a federation of three simulations of forest fire spread, river pollution diffusion and wireless sensor network. The obtained results can be utilized to observe and predict the behaviours of physical systems in their interactions.