An Efficient Method for Optimal Allocation of Resources in LPWAN Using Hybrid Coati-Energy Valley Optimization Algorithm Based on Reinforcement Learning

An Efficient Method for Optimal Allocation of Resources in LPWAN Using Hybrid Coati-Energy Valley Optimization Algorithm Based on Reinforcement Learning

In Wide Area Networks (WANs), resource allocation is essential since computer networks manage complex optimization difficulties. The goal of optimal resource allocation is to improve total computing productivity. Distributing numerous specialized data and communication technology services inside a W...

Full description

Bibliographic Details
Main Authors: M. Rajeswara Rao, S. Sundar
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Optimal resource allocation
low-power wide area network
hybrid coati with energy valley optimization algorithm
reinforcement learning agent
spreading factor
transmission power
Online Access:https://ieeexplore.ieee.org/document/10287286/

Internet

https://ieeexplore.ieee.org/document/10287286/

Similar Items