2019
DOI: 10.1109/access.2019.2907566
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Model-Based Design of Defense Cyber-Physical Systems to Analyze Mission Effectiveness and Network Performance

Abstract: This paper discusses two modeling and simulation (M&S) issues for defense cyber-physical systems (CPSs): 1) model-driven development via model interoperation and 2) simulation analysis between interoperated models. To clearly describe the network capabilities between the CPSs within network-centric warfare (NCW), we first modeled communication factors separately from the overall CPSs. The CPS models and the network model were considered discrete event systems, which were realized with DEVSim++ and ns-3, respec… Show more

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Cited by 13 publications
(16 citation statements)
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“…Compared to the OCBAbw procedure, the higher robustness of the proposed procedure is attributed to considering additional information when allocating further replications. Although both procedures take into account the sample meanμ i and the sample variance s 2 i , the proposed procedure considers the number of collected samples N i as well, as shown in (8). However, the OCBAbw procedure uses onlyμ i and s 2 i as specified in its main allocation rule below [21]:…”
Section: A Benchmark Problemsmentioning
confidence: 99%
See 1 more Smart Citation
“…Compared to the OCBAbw procedure, the higher robustness of the proposed procedure is attributed to considering additional information when allocating further replications. Although both procedures take into account the sample meanμ i and the sample variance s 2 i , the proposed procedure considers the number of collected samples N i as well, as shown in (8). However, the OCBAbw procedure uses onlyμ i and s 2 i as specified in its main allocation rule below [21]:…”
Section: A Benchmark Problemsmentioning
confidence: 99%
“…Discrete-event simulation is widely used to analyze modern industrial complex systems, such as manufacturing [1], military [2], smart grid [3], telecommunications [4], and transportation [5]. The most significant advantage of the simulation is that, with just a few assumptions, it can accurately analyze complex systems that cannot be described using closed-form analytic models [6].…”
Section: Introductionmentioning
confidence: 99%
“…Niping Jia et al proposed an operational effectiveness evaluation method of a swarming UAV combat system based on a system dynamic model [23]. Bong Gu Kang et al used discrete event simulation to analyze the mission effectiveness and network performance of defense cyber-physical systems [24]. In this paper, an agent-based simulation environment for maritime search missions was constructed.…”
Section: Introductionmentioning
confidence: 99%
“…Discrete-event system simulation is a powerful tool for analyzing modern industrial systems such as telecommunication [1], manufacturing [2], microgrid [3], transportation [4], healthcare [5], and military [6] systems that cannot be described as a closed-form analytic model [7]. As one of the essential applications of simulation, simulation-based optimization (SBO) finds the optimal configurations of the systems' decision variables (i.e., the optimal designs) that satisfy the given optimal requirements of the system performance (e.g., maximize the performance) using simulations [8].…”
Section: Introductionmentioning
confidence: 99%