DocumentCode :
1314071
Title :
Simulating asynchronous, decentralized military command and control
Author :
Lee, Tony ; Ghosh, Sumit
Author_Institution :
Arizona State Univ., AZ, USA
Volume :
3
Issue :
4
fYear :
1996
Firstpage :
69
Lastpage :
79
Abstract :
The pace and scope of modern warfare have made some aspects of traditional, centralized decision making obsolete. A decentralized scheme grants greater autonomy to fighting units, which process data locally for efficient decision making. In experimental simulations using a decentralized algorithm, units react to information faster in both offensive and defensive scenarios. We used asynchronous, distributed, discrete event simulation techniques to model the command and control problem. These algorithms are appropriate for problems involving discrete data transfer, geographically dispersed decision making entities, asynchronously generated stimuli, and data feedback. To compare our algorithm with traditional algorithms and identify scenarios for which it is effective, we used a loosely coupled parallel processor as a simulation testbed. To the best of our knowledge, this research is the first attempt to scientifically model decentralized C3 and assess its performance through extensive parallel simulation. State-of-the-art battlefield simulators such as Simnet and CATT provide training environments in which human operators make the decisions. In contrast, our testbed provides an automated environment for fast, efficient, accurate warfare modeling. By “accurate” we mean spatial and timing resolution; we do not claim to represent all battlefield details, such as terrain
Keywords :
command and control systems; computer aided instruction; computer based training; discrete event simulation; distributed algorithms; parallel programming; CATT; Simnet; asynchronous decentralized military command and control simulation; asynchronously generated stimuli; automated environment; battlefield simulators; data feedback; decentralized C3; decentralized algorithm; decentralized scheme; decision making; defensive scenarios; discrete data transfer; discrete event simulation techniques; experimental simulations; fighting units; geographically dispersed decision making entities; loosely coupled parallel processor; modern warfare modelling; parallel simulation; simulation testbed; training environments; Automatic testing; Centralized control; Command and control systems; Communication system control; Competitive intelligence; Decision making; Dentistry; Discrete event simulation; Distributed control; Feedback; History; Humans; Logic; Military communication; Spatial resolution; Timing;
fLanguage :
English
Journal_Title :
Computational Science & Engineering, IEEE
Publisher :
ieee
ISSN :
1070-9924
Type :
jour
DOI :
10.1109/99.556514
Filename :
556514
Link To Document :
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