System of Systems Approach to Formal Modeling of CPS for Simulation-Based Analysis

Lee, Kyou Ho; Hong, Jeong Hee; Kim, Tag Gon

doi:10.4218/etrij.15.0114.0863

Cited by 33 publications

(16 citation statements)

References 31 publications

(32 reference statements)

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“…The interoperation method assumes that each subsystem performs its tasks autonomously to take detailed actions for the SoS [11]. Thus, the biggest benefit of the SoS-based NCW is enhancing the accuracy of mobility and traffic data.…”

Section: Two Systematic Views For Communication Analysis In Ncwmentioning

confidence: 99%

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Communication Analysis of Network‐Centric Warfare via Transformation of System of Systems Model into Integrated System Model Using Neural Network

2018

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Communication system in the network-centric warfare (NCW) has been analyzed from the perspective of the system of systems (SoS), which consists of a combat system and a network system so that the two reflect each other’s effects. However, this paradoxically causes a prolonged execution time. To solve this problem, this paper proposes an advanced integrated modeling method for the communication analysis in the NCW via the transformation of the SoS, which reduces the simulation execution time while ensuring the accuracy of the communication effects. The proposed models mainly cover interentity traffic and intraentity mobility developed in the form of feed-forward neural networks to guarantee two-way interactions between the combat system and the network system. Because they are characterized as discrete events, the proposed models are designed with the discrete-event system specification (DEVS) formalism. The experimental results show that the proposed transformation reduced an error by 6.40% compared to the existing method and reduced the execution time 3.78-fold compared to the SoS-based NCW simulation.

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Section: Two Systematic Views For Communication Analysis In Ncwmentioning

confidence: 99%

“…Then, the engineer interacts with the two systems under standardized architectures such as high-level architecture (HLA) or test and training enabling architecture [9,10]. This is a typical approach for system of systems (SoS) development, which supports the high reality of component systems and flexibility in changing them [11,12].…”

Section: Introductionmentioning

confidence: 99%

Communication Analysis of Network‐Centric Warfare via Transformation of System of Systems Model into Integrated System Model Using Neural Network

2018

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“…Simulation can be effectively used to analyze complex systems, optimization problems, etc. [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Multiaccess Edge Computing-Based Simulation as a Service for 5G Mobile Applications: A Case Study of Tollgate Selection for Autonomous Vehicles

Lee

Kang

Jeon

et al. 2020

Wireless Communications and Mobile Computing

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As the data rate and area capacity are enormously increased with the advent of 5G wireless communication, the network latency becomes a severe issue in a 5G network. Since there are various types of terminals in a 5G network such as vehicles, medical devices, robots, drones, and various sensors which perform complex tasks interacting with other devices dynamically, there is a need to handle heavy computing resource intensive operations. Placing a multiaccess edge computing (MEC) server at the base station, which is located at the edge, can be one of the solutions to it. The application running on the MEC platform needs a specific simulation technique to analyze complex systems inside the MEC network. We proposed and implemented a simulation as a service (SIMaaS) for the MEC platform, which is to offload the simulation using a Cloud infrastructure based on the concept of computation offloading. In the case study, the Monte-Carlo simulations are conducted using the proposed SIMaaS to select the optimal highway tollgate where vehicles are allowed to enter. It shows how clients of the MEC platform use SIMaaS to obtain certain goals.

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“…However, as the importance of communication and the need for a detailed depiction of the network system increase, recent studies have separated the network model from the combat model [5,6]. Namely, they have implemented each model with dedicated modeling development tools and have interconnected the model through an interoperation standard, such as the high-level architecture (HLA) or the test and training enabling architecture from the perspective of the system of systems (SoS) [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Simulation‐Based Optimization on the System‐of‐Systems Model via Model Transformation and Genetic Algorithm: A Case Study of Network‐Centric Warfare

et al. 2018

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Simulation of a system-of-systems (SoS) model, which consists of a combat model and a network model, has been used to analyze the performance of network-centric warfare in detail. However, finding the combat model parameters satisfying the required combat power using simulation can take a long time for two reasons: (1) the prolonged execution time per simulation run and (2) the enormous number of simulation runs. This paper proposes a simulation-based optimization method for the SoS-based simulation model to overcome these problems. The method consists of two processes: (1) the transformation of the SoS-based model into an integrated model using the neural network to reduce the execution time and (2) the optimization of the integrated model using the genetic algorithm with ranking and selection to decrease the number of simulation runs. The experimental result reveals that the proposed method significantly reduced the time for finding the optimal combat parameters with an acceptable level of accuracy.

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System of Systems Approach to Formal Modeling of CPS for Simulation-Based Analysis

Cited by 33 publications

References 31 publications

Communication Analysis of Network‐Centric Warfare via Transformation of System of Systems Model into Integrated System Model Using Neural Network

Communication Analysis of Network‐Centric Warfare via Transformation of System of Systems Model into Integrated System Model Using Neural Network

Multiaccess Edge Computing-Based Simulation as a Service for 5G Mobile Applications: A Case Study of Tollgate Selection for Autonomous Vehicles

Simulation‐Based Optimization on the System‐of‐Systems Model via Model Transformation and Genetic Algorithm: A Case Study of Network‐Centric Warfare

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