A Location-dependent Runs-and-gaps model for Predicting TCP Performance Over a UAV Wireless Channel

Abstract

In this paper, we use a finite-state model to predict the performance of the Transmission Control Protocol (TCP) over a varying wireless channel between an unmanned aerial vehicle (UAV) and ground nodes. As a UAV traverses its flight path, the wireless channel may experience periods of significant packet loss, successful packet delivery, and intermittent reception. By capturing packet run-length and gap-length statistics at various locations on the flight path, this location-dependent model can predict TCP throughput in spite of dynamically changing channel characteristics. We train the model by using packet traces from flight tests in the field and validate it by comparing TCP throughput distributions for model-generated traces against those for actual traces randomly sampled from field data. Our modeling methodology is general and can be applied to any UAV flight path.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2010
Accession Number
ADA633701

Entities

People

  • Brendon Poland
  • Bruce Suter
  • Chit-kwan Lin
  • Daniel Hague
  • Dario Vlah
  • H. T. Kung
  • Michael Muccio
  • Stephen J. Tarsa
  • Tsung-han Lin

Organizations

  • Harvard University

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Algorithms
  • Anechoic Chambers
  • Data Science
  • Data Sets
  • Flight
  • Flight Paths
  • Governments
  • Markov Chains
  • Markov Models
  • Military Research
  • Packet Loss
  • Statistics
  • Throughput
  • Transport Protocols

Fields of Study

  • Computer science

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Computational Modeling and Simulation
  • Computer Networking

Technology Areas

  • Autonomy
  • Space
  • Space - Spacecraft Maneuvers