AI-Driven Optimization of Low-Energy IoT Protocols for Scalable and Efficient Smart Healthcare Systems

AI-Driven Optimization of Low-Energy IoT Protocols for Scalable and Efficient Smart Healthcare Systems

The Internet of Things (IoT) promises a hyperconnected world, integrating billions of devices across various domains, including smart healthcare systems. Central to this connectivity are low-energy communication protocols, essential for prolonging the battery life of resource-constrained IoT devices...

Full description

Saved in:
Bibliographic Details
Main Authors: Salma Rattal, Abdelmajid Badri, Mohamed Moughit, El Miloud Ar-Reyouchi, Kamal Ghoumid
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
AI-driven optimization
low-energy IoT protocols
smart healthcare systems
energy efficiency
scalability in IoT
reinforcement learning in IoT
Online Access:https://ieeexplore.ieee.org/document/10925415/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10925415/

Similar Items