Machine learning benchmarking for secured iot smart systems
Smartness and IoT along with machine learning (ML) lead the research directions
nowadays. Smart city, smart campus, smart home, smart vehicle, etc; or if we call it “Smart x” …
nowadays. Smart city, smart campus, smart home, smart vehicle, etc; or if we call it “Smart x” …
RF energy harvesting dependency for power optimized two-way relaying D2D communication
Radio frequency (RF) Energy Harvesting (EH) plays an important role to deal with the
energy efficiency (EE) shortage for wireless networks. On the other hand, relay nodes (RNs) …
energy efficiency (EE) shortage for wireless networks. On the other hand, relay nodes (RNs) …
Multi-armed bandit-aided near-optimal over-the-air updates in multi-band v2x systems
As autonomous and connected vehicles continue to garner much research attention, the
automotive Over-The-Air (OTA) updates recently emerged as an important research topic …
automotive Over-The-Air (OTA) updates recently emerged as an important research topic …
Security Challenges in 6G Networks: A Game Theory-based Intrusion Detection with Network Slicing and AI/ML Perspectives
M Gupta, RK Jha, M Sabraj - 2024 - preprints.org
The vast network of interconnected devices of the Internet of Things poses significant
security challenges, necessitating the upgrade of current wireless networks to the 6G …
security challenges, necessitating the upgrade of current wireless networks to the 6G …
The Implementation of a Machine Learning-based Routing Algorithm in a Lab-Scale Testbed
High quality of service (QoS) requires monitoring and controlling parameters such as delay
and throughput. Due to network complexity, conventional QoS-improving routing algorithms …
and throughput. Due to network complexity, conventional QoS-improving routing algorithms …