Allocation de ressources dans un r{\'e}seau de radio cognitive en utilisant JADE

TL;DR

This paper presents a multi-agent system approach using coalitions and multi-criteria decision-making to optimize resource allocation and reduce message exchanges in cognitive radio networks.

Contribution

It introduces coalition-based negotiation mechanisms and the application of TOPSIS for efficient resource management in cognitive radio networks.

Findings

Reduced message exchanges in the network.

Minimized response time for SUs.

Effective coalition management improves resource allocation.

Abstract

In this work, we are interested in the negotiation between several PU and several SU in a cognitive radio context by using multi-agent systems. So, we have implemented PU coalitions (CPU) and SU coalitions (CSU). We also used the multi-criteria decision (TOPSIS algorithm) to best meet the needs of SU.Management by coalitions and the aggregation technique that we have used in this context significantly reduce the number of messages exchanged in the network. Processing negotiations simultaneously by several CSU minimizes response time side SU.