Improved node localization using K-means clustering for wireless sensor networks

DOI10.1016/J.COSREV.2020.100284zbMath1478.68024OpenAlexW3037528720MaRDI QIDQ2026310

Adel Thaljaoui, Salim El Khediri, Tarek Moulahi, Abdennaceur Kachouri, Walid Fakhet, Rehanullah Khan

Publication date: 19 May 2021

Published in: Computer Science Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cosrev.2020.100284

zbMATH Keywords

clusteringlifetimewireless sensor networksenergy efficiencycluster-head

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Network design and communication in computer systems (68M10) Wireless sensor networks as related to computer science (68M18)

Related Items (3)

Strategies based on various aspects of clustering in wireless sensor networks using classical, optimization and machine learning techniques: review, taxonomy, research findings, challenges and future directions ⋮ Optimal Trained Deep Neural Network for Localization in Wireless Sensor Network ⋮ Improved approaches for density-based outlier detection in wireless sensor networks

Cites Work

• Multi-objective particle swarm optimization with time variant inertia and acceleration coefficients

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