[HTML][HTML] Optimizing data aggregation and clustering in Internet of things networks using principal component analysis and Q-learning
Abstract The Internet of things (IoT) is a wireless network designed to perform specific tasks
and plays a crucial role in various fields such as environmental monitoring, surveillance, and …
and plays a crucial role in various fields such as environmental monitoring, surveillance, and …
Energy-Efficient Routing Optimization for Underwater Internet of Things using Hybrid Q-Learning and Predictive Learning Approach
Abstract The Underwater Internet of Things (U-IoT) connects devices used in underwater
exploration, collection and transmission of data for exploration, monitoring, and …
exploration, collection and transmission of data for exploration, monitoring, and …
A Hybrid Approach for Enhancing Data Aggregation Security in the Internet of Medical Things
In this study, we focus on addressing the security and privacy challenges associated with the
Internet of Medical Things (IoMT) and associated data. IoMT involves the transmission of …
Internet of Medical Things (IoMT) and associated data. IoMT involves the transmission of …