A weighted clustering algorithm based on node energy for multi-UAV Ad Hoc networks

Jinchao Liu, Qi Zhang, Xiangjun Xin, Qinghua Tian, Ying Tao, Rui Ding, Yufei Shen, Guixing Cao, Naijin Liu

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

1 Citation (Scopus)

Abstract

In order to solve the problem of endurance of high-speed mobile multi-UAV in Ad Hoc networks with frequent network topology changing, this paper proposes a weighted clustering algorithm based on node energy (EWCA). In this algorithm, we use a multi-parameter weighted clustering algorithm, which improve the node degree difference and node residual energy calculation methods, and study the similarity between the adjacent nodes in terms of speed, direction, etc. The simulation studies the inter-cluster switching rate, the number of nodes and the performance of the minimum lifetime of network node. The results show that, compared with the highest node degree algorithm (HIGHD), adaptive security clustering algorithm (SWCA) and weighted clustering algorithm (WCA), the proposed algorithm can reduce the number of clusters, improve the stability of clustering, and the survival time of drones, and improve the network's endurance.

Original languageEnglish
Title of host publicationTenth International Conference on Information Optics and Photonics
EditorsYidong Huang
PublisherSPIE
ISBN (Electronic)9781510625792
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event10th International Conference on Information Optics and Photonics - Beijing, China
Duration: 8 Jul 201811 Jul 2018

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10964
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference10th International Conference on Information Optics and Photonics
Country/TerritoryChina
CityBeijing
Period8/07/1811/07/18

Keywords

  • Ad Hoc networks
  • clustering algorithm
  • node energy

Fingerprint

Dive into the research topics of 'A weighted clustering algorithm based on node energy for multi-UAV Ad Hoc networks'. Together they form a unique fingerprint.

Cite this

Liu, J., Zhang, Q., Xin, X., Tian, Q., Tao, Y., Ding, R., Shen, Y., Cao, G., & Liu, N. (2018). A weighted clustering algorithm based on node energy for multi-UAV Ad Hoc networks. In Y. Huang (Ed.), Tenth International Conference on Information Optics and Photonics Article 109643O (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10964). SPIE. https://doi.org/10.1117/12.2505961