Determining the Most Vital Arcs Within a Multi-Mode Communication Network Using Set-Based Measures

Abstract

Technology has dramatically changed the way the military has disseminated information over the last fifty years. The Air Force has adapted to the change by operating a network with various ways to disseminate information. The Air Operating Center (AOC) is a large contributor to disseminating information in the Air Force. When the standard mode of sending information is disrupted, the AOC seeks both alternative ways available to send information and long term approaches to decrease vulnerability of its standard procedures. In this thesis, we seek to identify and quantify the most vital components within a multi-mode communications network via a combination of a set-based efficiency and set-based cost efficiency measures that utilize the all pairs shortest path (APSP) problem and minimum cost flow (MCF) problem. We capture the phenomenon that network components must work together to provide flow by examining how the network performs when sets of arcs are disrupted. We run 125 different computational experiments examining varying degrees of damage experienced by the network. From these results, we deduce insights into the characteristics of the most vital arcs in a multi-mode communication network which can inform future fortification decisions.

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Document Details

Document Type
Technical Report
Publication Date
Mar 26, 2015
Accession Number
ADA623044

Entities

People

  • Christopher A. Hergenreter

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Basic Programming Language
  • Communication Networks
  • Computer Networks
  • Computer Programming
  • Decision Support Systems
  • Department Of Defense
  • Flow Network
  • Governments
  • Literature Surveys
  • Military Personnel
  • Operations Research
  • Spreadsheet Software
  • United States
  • United States Government
  • Vulnerability

Readers

  • Joint Military Operations and Doctrine.
  • Neural Network Machine Learning.
  • Operations Research