Cognitive radio ad hoc networks (CRAHNs): Cognitive radio ad hoc networks (CRAHNs): Resource allocation techniques based on Bio-inspired computing

TL;DR

This paper proposes a bio-inspired computing algorithm for resource reallocation in cognitive radio ad hoc networks to address spectrum scarcity and improve network efficiency.

Contribution

It introduces a novel bio-inspired resource allocation technique specifically designed for CRAHNs to enhance spectrum utilization and manage dynamic channel reallocation.

Findings

Improved spectrum utilization in CRAHNs.

Effective reallocation of channels with minimal interference.

Enhanced network performance under spectrum scarcity.

Abstract

Spectrum is a scarce commodity, and considering the spectrum scarcity faced by the wireless-based service providers led to high congestion levels. Technical inefficiencies from pooled spectrum (this is nothing but the "common carrier principle" adopted in oil/gas/electricity pipelines/networks.), since all ad hoc networks share a common pool of channels, exhausting the available channels will force ad hoc networks to block the services. Researchers found that cognitive radio (CR) technology may resolve the spectrum scarcity. CR network proved to next generation wireless communication system that proposed as a way to reuse under-utilised spectrum of licensee user (primary network) in an opportunistic and non-interfering basis. A CR is a self-configuring entity in a wireless networking that senses its environment, tracks changes, and frequently exchanges information with their networks. Adding this layer of such intelligence to the ad hoc network by looking at the overall geography of the network known as cognitive radio ad hoc networks (CRAHNs). However, CRAHN facing challenges and condition become worst while tracks changes i.e. reallocation of another under-utilised channels while primary network user arrives. In this paper, channels or resource reallocation technique based on bio-inspired computing algorithm for CRAHN has been proposed.