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Swarm Intelligence-Based Spectrum Allocation for FANETs: A Virtualized Emulation Using Mininet-WiFi

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(5), pp.97~106
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : April 29, 2025
  • Accepted : May 22, 2025
  • Published : May 30, 2025

Sang-Chul Kim 1 Jabborov Akmaljon 1

1국민대학교

Accredited

ABSTRACT

Flying ad hoc networks (FANETs) represent a rapidly growing area in wireless communication systems, requiring robust, adaptive, and scalable spectrum allocation strategies. This study proposes a swarm intelligence-based spectrum allocation (SISA) algorithm for FANETs that facilitates decentralized channel assignment through pheromone-inspired coordination. The algorithm was evaluated against greedy, game theory-based, and reinforcement learning-based methods in a virtualized simulation environment built on Mininet-WiFi. Over 100 simulation iterations were conducted for each strategy to ensure result stability and generalization. Metrics such as throughput, latency, interference, packet loss, fairness, and energy efficiency were analyzed. The results demonstrate that SISA considerably outperformed baseline approaches, improving the channel stability and communication reliability while preserving computational simplicity. Furthermore, mathematical formulations and workflow visualizations were conducted to illustrate the logic and advantages of the proposed method.

Citation status

* References for papers published after 2023 are currently being built.