Title :
Modeling and Simulation of C2 Systems Based on Entity Relationship
Author :
Gao, Fei ; Gao, Fuxiang ; Wang, Yu ; Chen, Shaoqing
Author_Institution :
Inst. of Command Autom., PLA Univ. of Sci. & Technol., Nanjing, China
Abstract :
Modeling and simulation is recognized as a useful way to evaluate the effectiveness of command and control (C2) systems whereas the modeling of C2 systems is rather difficult. In order to model C2 systems, an entity relationship based method is raised. All levels and all kinds of command posts are abstracted into C2 entity model which is composed of capability model and behavior model. At the same time the communication connections and information interactions between these command posts are represented by C2 relationship model. The C2 entity capability is characterized by parameterized entity capability indexes and the entity behavior is modeled by finite automation machine. 2-dimention tables are used to model the network relationship and information relationship which preferably solves the C2 architecture modeling problem. The entity relationship based modeling method is easy to understand and convenient for programming. The credibility of C2 models built by this method can be improved continuously because of its integrity and flexibility. The method can be used to develop combat simulation systems and well support C2 systems´ effectiveness evaluation.
Keywords :
command and control systems; digital simulation; 2-dimension tables; C2 architecture modeling problem; C2 relationship model; C2 systems; behavior model; capability model; command and control systems; entity relationship; finite automation machine; information interactions; parameterized entity capability indexes; Abstracts; Command and control systems; Communication networks; Computational modeling; Indexes; Load modeling; Training; C2 system; M&S command and control; entity relationship;
Conference_Titel :
Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4673-1365-0
DOI :
10.1109/CSO.2012.11