Articles liés à Cognitive Radio parameters optimization using Bio-Inspired...

Cognitive Radio parameters optimization using Bio-Inspired Algorithms: Cognitive Radio parameters optimization based on GA, PSO and Spectrum mobility based on DNA inspired computing - Couverture souple

Singh, Santosh Kumar

 
9783848441426: Cognitive Radio parameters optimization using Bio-Inspired Algorithms: Cognitive Radio parameters optimization based on GA, PSO and Spectrum mobility based on DNA inspired computing
Couverture souple
ISBN 10 : 384844142X ISBN 13 : 9783848441426
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Cognitive Radio Engine model optimizes wireless transmission parameters for spectrum management and decision supports, results analyzed and compared among multi-channel with algorithms based on Base-10 Genetic Algorithms (GA), Particle Swarm Optimization (PSO)and hybrid of GA+PSO. Multi-objective fitness functions established the relationships among the environmental parameters, transmission parameters, and objectives of QoS performance. Using theoretically relationships between various different parameters and the weighted cumulative sum approach, equations for each objective to be used within Cognitive Radio engines were developed. The objectives of these multi-objective fitness functions were controlled by the values of the weights on each defined function. A robust technique for spectrum mobility of secondary users based on DNA inspired computing, satisfies the solution to problem given by S. Haykin paper "Cognitive Radio: Brain-Empowered Wireless Communications". However, this involve only one transmission parameter (i.e. received power) and at last, cognitive radio security threats discussed based on Simulink model.

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Présentation de l'éditeur

Cognitive Radio Engine model optimizes wireless transmission parameters for spectrum management and decision supports, results analyzed and compared among multi-channel with algorithms based on Base-10 Genetic Algorithms (GA), Particle Swarm Optimization (PSO)and hybrid of GA+PSO. Multi-objective fitness functions established the relationships among the environmental parameters, transmission parameters, and objectives of QoS performance. Using theoretically relationships between various different parameters and the weighted cumulative sum approach, equations for each objective to be used within Cognitive Radio engines were developed. The objectives of these multi-objective fitness functions were controlled by the values of the weights on each defined function. A robust technique for spectrum mobility of secondary users based on DNA inspired computing, satisfies the solution to problem given by S. Haykin paper "Cognitive Radio: Brain-Empowered Wireless Communications". However, this involve only one transmission parameter (i.e. received power) and at last, cognitive radio security threats discussed based on Simulink model.

Biographie de l'auteur

Encapsulated with strong academic-research experiences Dr. Singh is recipient of National Contributor Scholar; credited with 18 M.Tech. dissertations, several research articles on Cognitive radio Technology. His current research interests include next generation wireless networks, wireless sensor networks and industrial embedded system.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
384844142X
ISBN 13 
9783848441426
Reliure
Broché
Nombre de pages
160
Coordonnées du fabricant
non disponible
Personne responsable
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