Resource Management of energy-aware Cognitive Radio Networks and cloud-based Infrastructures

TL;DR

This paper surveys recent developments in energy-aware resource management for cognitive radio networks and cloud infrastructures, highlighting challenges and optimization strategies to enhance wireless network efficiency.

Contribution

It provides a comprehensive overview of current research on resource management in cognitive radio networks and cloud-based systems, emphasizing energy efficiency and optimization techniques.

Findings

Identifies key challenges in energy-efficient wireless networking.

Summarizes recent optimization approaches for resource management.

Highlights the importance of integrating cognitive radio and cloud computing.

Abstract

The field of wireless networks has been rapidly developed during the past decade due to the increasing popularity of the mobile devices. The great demand for mobility and connectivity makes wireless networking a field whose continuous technological development is very important as new challenges and issues are arising. Many scientists and researchers are currently engaged in developing new approaches and optimization methods in several topics of wireless networking. This survey paper study works from the following topics: Cognitive Radio Networks, Interactive Broadcasting, Energy Efficient Networks, Cloud Computing and Resource Management, Interactive Marketing and Optimization.