Energy-Balanced Clustering Protocols for Underwater Sensor Networks

Ruiqin Zhao, Chuangyuan Liu, Xiaohong Shen

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

2 Scopus citations

Abstract

Underwater sensor networks(USNs) play a vital role in marine devices, which work under energy -constrained environments. Numerous network clustering algorithms have been proposed to enhance the network lifespan. However, existing network clustering algorithms generally select cluster heads(CHs) randomly, which leads to uneven clustering results, imbalanced energy consumption in the network. In this paper, we present a spectral-clustering-based USN clustering strategy(SCUC), which achieves uniform clustering of network nodes, effectively balancing the energy consumption and prolonging the network lifespan. We also have verified its superiority through simulations.

Original languageEnglish
Title of host publicationOCEANS 2024 - Singapore, OCEANS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350362077
DOIs
StatePublished - 2024
EventOCEANS 2024 - Singapore, OCEANS 2024 - Singapore, Singapore
Duration: 15 Apr 202418 Apr 2024

Publication series

NameOceans Conference Record (IEEE)
ISSN (Print)0197-7385

Conference

ConferenceOCEANS 2024 - Singapore, OCEANS 2024
Country/TerritorySingapore
CitySingapore
Period15/04/2418/04/24

Keywords

  • node clustering
  • spectral clustering
  • underwater acoustic sensor networks

Fingerprint

Dive into the research topics of 'Energy-Balanced Clustering Protocols for Underwater Sensor Networks'. Together they form a unique fingerprint.

Cite this