Survivability development of wireless sensor networks using neuro fuzzy-clonal selection optimization

DOI10.1016/j.tcs.2022.04.008OpenAlexW4223929339MaRDI QIDQ2672570

Jalawi Alshudukhi, Kusum Yadav

Publication date: 13 June 2022

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

Full work available at URL: https://doi.org/10.1016/j.tcs.2022.04.008

zbMATH Keywords

survivabilitywireless sensor networksPSOneuro fuzzyclonal selection optimizationLEACH

Mathematics Subject Classification ID

Wireless sensor networks as related to computer science (68M18)

Uses Software

• EEMC

Cites Work

• 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
• A taxonomy of biologically inspired research in computer networking
• Network survivability modeling
• EEMC: An energy-efficient multi-level clustering algorithm for large-scale wireless sensor networks

This page was built for publication: Survivability development of wireless sensor networks using neuro fuzzy-clonal selection optimization