Multi-objective Distributed Clustering Algorithm in Wireless Sensor Networks Using the Analytic Hierarchy Process

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

4 Scopus citations

Abstract

In wireless sensor networks, unbalanced energy consumption may shorten network lifespan. In this paper, a multi-objective distributed clustering algorithm using the analytic hierarchy process is developed to ensure that the energy expenditure of the cluster head nodes is balanced and the network lifespan is enhanced. By adopting the analytic hierarchy process model, our proposed algorithm aggregates multiple factors such as the node energy, the node centrality, and the node degree to search for an optimal clustering structure. Furthermore, a super cluster head is selected among the cluster head nodes based on the distance from the cluster head to the base station, which further minimizes the energy dissipation. Simulation results indicate that the proposed algorithm outperforms the other existing ones in terms of clustering structure and network lifespan.

Original languageEnglish
Title of host publicationProceedings - 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2019
EditorsMasahide Nakamura, Hiroaki Hirata, Takayuki Ito, Takanobu Otsuka, Shun Okuhara
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages88-93
Number of pages6
ISBN (Electronic)9781728116518
DOIs
StatePublished - Jul 2019
Externally publishedYes
Event20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2019 - Toyama, Japan
Duration: 8 Jul 201911 Jul 2019

Publication series

NameProceedings - 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2019

Conference

Conference20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2019
Country/TerritoryJapan
CityToyama
Period8/07/1911/07/19

Keywords

  • analytic hierarchy process
  • clustering
  • multi-objective
  • wireless sensor networks

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