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Related Experiment Video

Updated: Jun 5, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
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Agent swarms: Cooperation and coordination under stringent communications constraint.

Paul Kinsler1, Sean Holman2, Andrew Elliott3

  • 1Department of Electronic & Electrical Engineering University of Bath, Bath, United Kingdom.

Plos One
|December 11, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel model for agent swarms to connect in challenging communication environments. It focuses on agent-centric metrics and communication constraints for autonomous systems like drones and satellites.

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Area of Science:

  • Robotics and Autonomous Systems
  • Network Communications
  • Distributed Systems

Background:

  • Swarms of autonomous agents (satellites, drones) are crucial for exploration.
  • Challenging communication environments pose significant hurdles for swarm connectivity.
  • Constraints like stealth, power, and hardware limitations necessitate new communication strategies.

Purpose of the Study:

  • To present a novel, discrete, geometry-free model for multi-agent swarm communications.
  • To develop agent-centric performance metrics for swarms without global location knowledge.
  • To analyze connectivity tactics under stringent communication constraints.

Main Methods:

  • Developed a discrete, geometry-free communication model for agent swarms.
  • Proposed agent-centric performance metrics to address lack of global knowledge.
  • Simulated various connectivity tactics to evaluate outcomes, risks, and connectivity.

Main Results:

  • Demonstrated how communication constraints dominate algorithmic outcomes in swarm connectivity.
  • Showcased the impact of the information gain to information loss ratio on simulated outcomes.
  • Identified excessive round-trip-time checks as an effective filtering mechanism.

Conclusions:

  • The proposed framework enables testing of efficient communication tactics for agent swarms.
  • The model is applicable to diverse scenarios and future autonomous systems.
  • Agent-centric metrics and constraint-aware algorithms are vital for swarm communication success.