Evaluation of the Effects of Predicted Associativity On the Reliability and Performance Of Mobile Ad Hoc Networks

Abstract

Routing in Mobile Ad Hoc Networks (MANETs) presents unique challenges not encountered in conventional networks. Predicted Associativity Routing (PAR) is a protocol designed to address reliability in MANETs. Using associativity information, PAR calculates the expected lifetime of neighboring links. Nodes use this expected lifetime, and their neighbor's connectivity to determine a residual lifetime. The routes are selected from those with the longest residual lifetimes. In this way, PAR attempts to improve the reliability of discovered routes. PAR is compared to AODV using a variety of reliability and performance metrics. Despite its focus on reliability, PAR does not provide more reliable routes. Rather, AODV produces routes which last as much as three times longer than PAR. However, PAR delivers more data and has greater throughput. Both protocols are affected most by the node density of the networks. Node density accounts for 48.62% of the variation in route lifetime in AODV, and 70.66% of the variation in PAR. As node density increases from 25 to 75 nodes route lifetimes are halved, while throughput increases drastically with the increased routing overhead. Furthermore, PAR increases end-to-end delay, while AODV displays better efficiency.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2006
Accession Number
ADA454372

Entities

People

  • Esteban F. Sanchez

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Ad Hoc Networks
  • Air Force
  • Algorithms
  • Boundaries
  • Data Links
  • Data Transmission
  • Experimental Design
  • Failure Mode And Effect Analysis
  • Mesh Networks
  • Mobile Ad Hoc Networks
  • Mobile Devices
  • Network Topology
  • Pilot Studies
  • Random Walk
  • Routing Protocols
  • Wireless Communications
  • Wireless Networks

Readers

  • Computer Networking
  • Mathematics or Statistics
  • Molecular and genetic basis of cancer.