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Peer-to-Peer Networking and Applications
Erschienen in:

01.04.2025

Hybrid Termite Queen and Walrus Optimization Algorithm-based energy efficient cluster-based routing with static and mobile sink node in WSNs

verfasst von: PL Rajarajeswari, Brindha Devi V, Angel Latha Mary S

Erschienen in: Peer-to-Peer Networking and Applications | Ausgabe 2/2025

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Abstract

Der Artikel stellt einen hybriden Termite Queen und Walrus Optimierungsalgorithmus (HTQWOA) für energieeffizientes clusterbasiertes Routing in Wireless Sensor Networks (WSNs) vor. Sie adressiert die Herausforderungen des Energieverbrauchs und der Lebensdauer des Netzwerks und konzentriert sich auf die Optimierung der Auswahl der Clusterköpfe und der Routing-Pfade. Der HTQWOA kombiniert die Stärken zweier metaheuristischer Algorithmen, um eine bessere Energieeffizienz und Netzstabilität zu erreichen. Die Studie beleuchtet das Problem der Hotspots und schlägt eine Lösung mit mobilen Spülknoten vor. Die Autoren führten umfangreiche Simulationen durch, um die Leistung ihrer vorgeschlagenen Methode zu bewerten und sie mit bestehenden Ansätzen zu vergleichen. Die Ergebnisse zeigen die Effektivität der HTQWOA bei der Verbesserung der Lebensdauer des Netzes und der Energieeffizienz.
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Metadaten
Titel
Hybrid Termite Queen and Walrus Optimization Algorithm-based energy efficient cluster-based routing with static and mobile sink node in WSNs
verfasst von
PL Rajarajeswari
Brindha Devi V
Angel Latha Mary S
Publikationsdatum
01.04.2025
Verlag
Springer US
Erschienen in
Peer-to-Peer Networking and Applications / Ausgabe 2/2025
Print ISSN: 1936-6442
Elektronische ISSN: 1936-6450
DOI
https://doi.org/10.1007/s12083-024-01848-y

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