Dynamic Spectrum Sensing Through Accelerated Particle Swarm Optimization

TL;DR

This paper introduces AAPSO, an enhanced particle swarm optimization algorithm that incorporates acceleration to improve dynamic spectrum sensing efficiency in cognitive radio networks.

Contribution

The paper presents AAPSO, a novel optimization method that considers acceleration in particle updates, outperforming standard PSO in spectrum sensing tasks.

Findings

AAPSO achieves higher detection accuracy.

AAPSO converges faster than standard PSO.

AAPSO demonstrates improved reliability in spectrum sensing.

Abstract

In this paper, a novel optimization algorithm, called the acceleration-aided particle swarm optimization (AAPSO), is proposed for reliable dynamic spectrum sensing in cognitive radio networks. In A-APSO, the acceleration variable of the particles in the swarm is also considered in the search space of the optimization problem. We show that the proposed A-APSO based spectrum sensing technique is more efficient in terms of performance than the corresponding one based on the standard particle swarm optimization algorithm.