Discrete Event Command & Control for Networked Teams with Multiple Missions

Abstract

During mission execution in military applications, the TRADOC Pamphlet 525-66 Battle Command and Battle Space Awareness capabilities prescribe expectations that networked teams will perform in a reliable manner under changing mission requirements, varying resource availability and reliability, and resource faults. In this paper, a Command and Control (C2) structure is presented that allows for computer-aided execution of the networked team decision-making process, control of force resources, shared resource dispatching, and adaptability to change based on battlefield conditions. A mathematically justified networked computing environment is provided called the Discrete Event Control (DEC) Framework. DEC has the ability to provide the logical connectivity among all team participants including mission planners, field commanders, war-fighters, and robotic platforms. The proposed data management tools are developed and demonstrated on a simulation study and an implementation on a distributed wireless sensor network. The results show that the tasks of multiple missions are correctly sequenced in real-time, and that shared resources are suitably assigned to competing tasks under dynamically changing conditions without conflicts and bottlenecks.

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Document Details

Document Type
Technical Report
Publication Date
Mar 16, 2009
Accession Number
ADA496792

Entities

People

  • Chee K. Pang
  • Christopher Mcmurrough
  • Frank L. Lewis
  • Greg Hudas
  • Matthew B. Middleton

Organizations

  • University of Texas at Arlington

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Command And Control
  • Computer Programming
  • Computer Programs
  • Computers
  • Detectors
  • Digital Computers
  • Engineering
  • Equations Of State
  • Graphical User Interface
  • Mathematical Analysis
  • Networks
  • Sensor Networks
  • Simulations
  • Unmanned Ground Systems
  • User Interface
  • Wireless Sensor Networks

Fields of Study

  • Computer science

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Joint Military Operations and Doctrine.
  • Operations Research

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - UAVs
  • Fully Networked C3
  • Fully Networked C3 - Command and Control
  • Space