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Hybrid architectural framework for C4ISR and Discrete-Event Simulation (DES) to support sensor-driven model synthesis in real-world scenarios

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Authors
Chen, You-Quan
Subjects
Simulation
Discrete Event Simulation
DES
Computer Managed DES
AEMF-DES
missile defense warfare
MDW
K-Coverage Rate
Advisors
Brutzman, Don
Pace, Phillip
Date of Issue
2013-09
Date
Sep-13
Publisher
Monterey California. Naval Postgraduate School
Language
Abstract
While the application of a time-step approach in modeling C4ISR in Missile Defense Warfare (MDW) suffers inaccurate time estimation and relative slow speed, Discrete Event Simulation (DES) can elegantly satisfy these shortages. However, current DES frameworks typically rely on detailed efforts in event analysis for numerous replications before software modification of the simulation scenario can be meaningful. Such approaches have limited adaptability, especially regarding flexibility of scenario design and customizability of entity definition. This dissertation proposes an improved DES framework, Adjustable and Extensible Modeling Framework DES (AEMF-DES), which embeds the primary principles of a topical theme into a program to perform adjustable and extensible studies that can be explored by the analyst. To prove the feasibility of AEMF-DES, a Missile-Defense Simulation application (MDSIM) is also developed during this research. MSDIM simulates the C4ISR processes in Missile Defense Warfare and can estimate the overall effectiveness of a defenders deployment or attackers strategy. Additionally, based on the interest in sensor deployment evaluation, a k-coverage rate problem is also studied. Current k-coverage algorithms can only deal with binary and omnidirectional sensor models which cannot provide enough simulation fidelity if higher resolution is needed. An improved k-coverage rate algorithm is proposed in this research to handle the probabilistic and directional sensor models. A separate simulation test successfully demonstrates the feasibility of this new calculation algorithm in estimation of the k-coverage rate problem with probabilistic and directional sensor models. Considered together, the architecture implemented in this example software illustrates the value of integrating hybrid simulation techniques to support C4ISR analysis related to Missile Defense Warfare.
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Thesis
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Department
Computer Science
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Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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