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Using Link Disconnection Entropy Disorder to Detect Fast Moving Nodes in MANETs.

Carlos F Alvarez1, Luis E Palafox1, Leocundo Aguilar1

  • 1Faculty of Chemical Sciences and Engineering, Autonomous University of Baja California, Baja California, Tijuana, Mexico.

Plos One
|May 25, 2016
PubMed
Summary

This study introduces a new metric, link disconnection entropy disorder, to assess node reliability in mobile ad-hoc networks (MANETs). This method effectively identifies unstable or fast-moving nodes without needing GPS, improving network performance evaluation.

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Area of Science:

  • Computer Science
  • Network Engineering
  • Wireless Communication

Background:

  • Mobile ad-hoc networks (MANETs) exhibit inherent dynamism due to node mobility and traffic.
  • Evaluating node behavior is crucial for identifying optimal connection paths.
  • Existing metrics may require specialized hardware like GPS.

Purpose of the Study:

  • To propose a novel relative index for evaluating single node reliability in MANETs.
  • To assess the effectiveness of link disconnection entropy disorder as a metric.
  • To determine if this metric can identify nodes with unstable communications or high mobility.

Main Methods:

  • Developed a relative index based on link disconnection entropy disorder.
  • Utilized neighboring nodes as a reference for evaluation.
  • Simulated various scenarios to test the index under different speeds and traffic densities.
  • Correlated the metric with packet delivery ratio.

Main Results:

  • Link disconnection entropy disorder effectively identifies fast-moving nodes and unstable communications.
  • The metric does not require specialized sensors like GPS.
  • A strong relationship was observed between link disconnection entropy disorder and packet delivery ratio.
  • Network simulations successfully identified high-speed nodes using only the link disconnection entropy disorder.

Conclusions:

  • Link disconnection entropy disorder is a viable metric for evaluating node stability and communication reliability in MANETs.
  • The proposed index offers a practical alternative for assessing node behavior in dynamic wireless environments.
  • This metric enhances the understanding of node dynamics and network performance without external hardware dependencies.