A Dynamic Scale UAV Weighted Clustering Algorithm

Xiangyu Wang, Zhengyang Liu, Chunxiao Jian, Shuhao Shi, Junbo Gu, Fengyuan Shi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

To resolve the problem of network management problem in UAV formation, a dynamic scale UAV weighted clustering algorithm(DSWCA) is proposed in this paper, in which the cluster structure for network optimization is used. By Determining the optimal, maximum and minimum values of the cluster scale and make the cluster scale dynamic, the algorithm can achieve superior performance in network load balance. In the maintenance stage, a cluster head replacement threshold is introduced to replace the original cluster heads in time before the energy is run out, which avoids frequent cluster reorganization and fusion, thus the stability of the UAV formation is improved and the UAV formation survival cycle is extended. Simulation results show that THE performance DSWCA better than other UAV clustering algorithms.

Original languageEnglish
Title of host publicationProceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages209-213
Number of pages5
ISBN (Electronic)9780738146577
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event2021 IEEE International Conference on Unmanned Systems, ICUS 2021 - Beijing, China
Duration: 15 Oct 202117 Oct 2021

Publication series

NameProceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021

Conference

Conference2021 IEEE International Conference on Unmanned Systems, ICUS 2021
Country/TerritoryChina
CityBeijing
Period15/10/2117/10/21

Keywords

  • cluster head replacement threshold
  • clustering algorithm
  • dynamic scale
  • UAV formation

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