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BOLD: Bio-Inspired Optimized Leader Election for Multiple Drones.

Rajesh Ganesan1, X Mercilin Raajini2, Anand Nayyar3,4

  • 1Department of Information Technology, MIT campus, Anna University, Chennai 600 044, India.

Sensors (Basel, Switzerland)
|June 5, 2020
PubMed
Summary

This study introduces BOLD, a new algorithm for electing drone cluster heads. BOLD enhances drone network lifetime by 15% compared to existing methods, improving coordination in critical missions.

Keywords:
clusteringdronesleader electionmultiple UAVnetwork lifetimeparticle swarm optimizationspider monkey optimizationunmanned aerial vehicle

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Area of Science:

  • Robotics and Artificial Intelligence
  • Network Engineering
  • Distributed Systems

Background:

  • Unmanned Aerial Vehicles (UAVs) are increasingly used in networked applications like surveillance and emergency rescue.
  • Effective coordination and energy management are critical for multi-drone systems due to energy constraints.
  • Existing cluster head election methods face challenges in dynamic, energy-constrained environments.

Purpose of the Study:

  • To propose an efficient, dynamic cluster head election approach for multi-drone networks.
  • To ensure robust decision-making and task assignment among drones.
  • To improve the overall network lifetime and energy efficiency.

Main Methods:

  • Developed Bio-Inspired Optimized Leader Election for Multiple Drones (BOLD) algorithm.
  • BOLD utilizes two AI-based optimization techniques for dynamic cluster head selection.
  • Employs a dynamic election process based on physical drone constraints and includes fail-over re-election.

Main Results:

  • BOLD demonstrated a 15% increase in drone network lifetime compared to Particle Swarm Optimization-Cluster head election (PSO-C).
  • BOLD shows improved energy consumption efficiency in simulations.
  • The algorithm effectively manages dynamic leader election and task delegation.

Conclusions:

  • BOLD provides an optimized, distributed solution for leader election in multi-drone systems.
  • The proposed method significantly enhances network lifetime and energy efficiency.
  • BOLD offers a promising approach for improving the performance of coordinated drone operations.