Evaluation of the Ad Hoc On-Demand Distance Vector Routing Protocol for Mobile Ad Hoc Networks

Abstract

Routing protocols designed for wired networks cannot be used in mobile ad hoc networks (MANETs) due to the dynamic topology, limited throughput, and energy constraints. New routing protocols have been designed for use in MANETs, but have not been thoroughly tested under realistic conditions such as node movement, number of sources, the presence of obstacles, and node speed. This research evaluates the performance of ad hoc on-demand distance vector routing with respect to throughput, goodput ratio, end-to-end (ETE) delay, node pair packet delivery rate, and node pair end-to-end delay. It shows these performance metrics vary significantly according to the choice of mobility model, number of sources, and the presence or absence of obstacles. The mobility model explains 68% of the variation in node pair packet delivery rate. The mobility model explains between 8% and 53% of variation in the other performance metrics. Obstacles explain between 5% and 24% of variation, and have the greatest effect on ETE delay. Finally, the number of sources explains between 8% and 72% of variation in node pair ETE delay, throughput, goodput ratio, and node pair packet delivery rate. The number of sources does not have a significant affect on ETE delay.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2005
Accession Number
ADA435177

Entities

People

  • Amber J. Rickmon

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Ad Hoc Networks
  • Air Force
  • Analysis Of Variance
  • Computer Networks
  • Data Transmission
  • Infrastructure
  • Local Area Networks
  • Mesh Networks
  • Mobile Ad Hoc Networks
  • Mobile Devices
  • Mobile Phones
  • Network Protocols
  • Networks
  • Routing Protocols
  • Urban Areas
  • Wireless Communications
  • Wireless Networks

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Mathematics or Statistics
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.