MAC-Layer Modeling and Analysis for Exploring Self-Regulation Enhancements in 802.11-Based Wireless Networks

Abstract

This thesis presents a simulation model created to accurately explore the range of responses of a WLAN supporting a lighting force moving across the battlefield. The objective has been to define a simulation model, built on a accurate analysis model of the lighting force units, which takes into consideration formations and movement techniques of this force on the battlefield. By subjecting this model to different movement patterns, traffic profiles, and packet volume, assessment of QoS data patterns can be used to make dynamic changes to the management of the network to maximize QOS under such conditions. Creation of such a model is an essential first step in being able to identify possible data patterns that are recognizable, and thus codifiable" into a set of heuristic enhancements to the 502.11 MAC protocol and architecture-with the goal being to endow the WLAN with sell-regulating capabilities. The model developed in this thesis is envisioned to significantly aid in the design of effective ubiquitous, wearable computing and wireless communications devices.

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Document Details

Document Type
Technical Report
Publication Date
Apr 15, 2004
Accession Number
ADA423567

Entities

People

  • Michael L. Haggard

Organizations

  • University of South Carolina

Tags

Communities of Interest

  • Biomedical
  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Climate Change
  • Computer Networks
  • Computer Programs
  • Computers
  • Electronic Mail
  • Local Area Networks
  • Mobile Phones
  • Multiple Access
  • Network Architecture
  • Network Protocols
  • Network Science
  • Network Topology
  • Self Organizing Systems
  • Situational Awareness
  • United States Military Academy
  • Wireless Communications
  • Wireless Networks

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computer Networking
  • Computer Vision.