DFM: A Distributed Flocking Model for UAV Swarm Networks

Ming Chen, Fei Dai*, Huibin Wang, Lei Lei

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

Abstract

Flocking of the unmanned aerial vehicle (UAV) network refers to utilize the node's autonomous mobility to satisfy the principle of cohesion, separation, and alignment. A network with flocking ensures the connectivity between high-speed UAV nodes and simplifies the design of various swarm applications. In this paper, we propose a novel distributed flocking model for UAV swarm networks. The model follows the Boid principle and establishes the master-slave transmission mode among the nodes. The slave node performs the distributed autonomous regulation. An effective flocking method is proposed, which is based on the positioning and communication capabilities of Wi-Fi. The slave node can sense and adjust their distance and direction from the master node. The simulation and experimental results show that our model can guarantee the connectivity between all nodes and has 1.4× the network goodput gain outperforms the traditional flying ad hoc network.

Original languageEnglish
Article number8534340
Pages (from-to)69141-69150
Number of pages10
JournalIEEE Access
Volume6
DOIs
Publication statusPublished - 2018
Externally publishedYes

Keywords

  • UAV network
  • Wi-Fi communication
  • distributed model
  • flocking

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