Machine learning based security solutions in MANETs: State of the art approaches
Abstract Machine learning (ML) techniques provide the learning capability to a system and
encourage adaptation into the environment, based upon many logical and statistical …
encourage adaptation into the environment, based upon many logical and statistical …
FQ‐MEC: Fuzzy‐Based Q‐Learning Approach for Mobility‐Aware Energy‐Efficient Clustering in MANET
Different schemes have been proposed for increasing network lifetime in mobile ad hoc
networks (MANETs) where nodes move uncertainly in any direction. Mobility awareness and …
networks (MANETs) where nodes move uncertainly in any direction. Mobility awareness and …
Trust Embedded AODV for securing and Analyzing Blackhole attack in MANET
E Lema, G Esubalew, M Desalegn… - … in Engineering (WIE …, 2022 - ieeexplore.ieee.org
Recently, the rising use of portable devices with advanced wireless communication gives
Mobile ad-hoc networks more significance with the expanding number of widespread …
Mobile ad-hoc networks more significance with the expanding number of widespread …
MANET's Node Secure Mobility Predictions using Enhanced Adaptive Learning Techniques
Predicting node mobility in dynamic environments is crucial to designing and implementing
ad hoc networks. This study presents a filter-based computing approach. Each node's …
ad hoc networks. This study presents a filter-based computing approach. Each node's …
[PDF][PDF] Delay Aware Clustered Service Discovery Scheme Based on Trust for Mobile Ad Hoc Networks (MANET)
B Prabu, G Jagatheeshkumar - Complexity - ijcna.org
Service discovery is one of the most difficult aspects of MANETs. The primary concern is the
assignment of the optimal service to the service requester. This work intends to address this …
assignment of the optimal service to the service requester. This work intends to address this …