Adaptive Broadcast Scheme with Fuzzy Logic and Reinforcement Learning Dynamic Membership Functions in Mobile Ad Hoc Networks

Adaptive Broadcast Scheme with Fuzzy Logic and Reinforcement Learning Dynamic Membership Functions in Mobile Ad Hoc Networks

Broadcasting in Mobile Ad Hoc Networks (MANETs) is significantly challenged by dynamic network topologies. Traditional fuzzy logic-based schemes that often rely on static fuzzy tables and fixed membership functions are limiting their ability to adapt to evolving network conditions. To address these...

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Bibliographic Details
Main Authors: Akobir Ismatov, BeomKyu Suh, Jian Kim, YongBeom Park, Ki-Il Kim
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Mathematics
Subjects:
MANET
fuzzy logic
reinforcement learning
membership function
Online Access:https://www.mdpi.com/2227-7390/13/15/2367
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