Cross Layer Aware Adaptive MAC based on Knowledge Based Reasoning for Cognitive Radio Computer Networks

TL;DR

This paper introduces a novel cross-layer MAC protocol for cognitive radio networks that uses knowledge-based reasoning to optimize power, contention window size, and reduce packet drops, leading to improved efficiency.

Contribution

It presents a new cross-layer MAC protocol integrating physical and MAC layer information with knowledge-based reasoning for cognitive radio networks.

Findings

Enhanced power saving and reduced backoff.

Significant decrease in packet drops.

Improved overall network performance.

Abstract

In this paper we are proposing a new concept in MAC layer protocol design for Cognitive radio by combining information held by physical layer and MAC layer with analytical engine based on knowledge based reasoning approach. In the proposed system a cross layer information regarding signal to interference and noise ratio (SINR) and received power are analyzed with help of knowledge based reasoning system to determine minimum power to transmit and size of contention window, to minimize backoff, collision, save power and drop packets. The performance analysis of the proposed protocol indicates improvement in power saving, lowering backoff and significant decrease in number of drop packets. The simulation environment was implement using OMNET++ discrete simulation tool with Mobilty framework and MiXiM simulation library.