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  2. Mobile Oscillators In A Mobile Multi-cluster Network.
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  2. Mobile Oscillators In A Mobile Multi-cluster Network.

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Mobile oscillators in a mobile multi-cluster network.

Venceslas Nguefoue Meli1,2, Thierry Njougouo2,3,4, Steve J Kongni1,2

  • 1Research Unit Condensed Matter, Electronics and Signal Processing, University of Dschang, P.O. Box 67, Dschang, Cameroon.

Chaos (Woodbury, N.Y.)
|May 16, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Mobile oscillators in multi-cluster networks synchronize based on spatial closeness. Their internal and external dynamics influence collective behaviors, with stability confirmed by analytical and numerical methods.

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Area of Science:

  • Complex systems
  • Network science
  • Collective behavior

Background:

  • Mobile systems are crucial for modeling natural and artificial systems in motion.
  • They offer versatile solutions in navigation, communication, data collection, and environmental monitoring.
  • Understanding collective behaviors in networks of mobile agents is an active research area.

Purpose of the Study:

  • To investigate the relative mobility and synchronization dynamics within and between clusters of mobile oscillators.
  • To analyze the influence of spatial closeness on inter-cluster synchronization.
  • To determine the stability of complete synchronization within clusters.

Main Methods:

  • Modeling a multi-cluster network of mobile oscillators with coupled external (position) and internal (phase) dynamics.
  • Employing analytical and numerical methods to study synchronization phenomena.
  • Examining the impact of spatial proximity on synchronization patterns.
  • Main Results:

    • Synchronization between clusters is significantly affected by their spatial closeness.
    • The interplay between external and internal dynamics drives the system towards synchronization.
    • Complete synchronization within clusters demonstrates stability.

    Conclusions:

    • Spatial proximity is a key factor governing synchronization in multi-cluster mobile oscillator networks.
    • The study provides insights into the conditions for achieving and maintaining synchronization in complex mobile systems.
    • Findings have implications for designing and controlling coordinated behaviors in distributed mobile agent systems.