Articles liés à Mobile Agent for Data Gathering in Wireless Sensor...

Mobile Agent for Data Gathering in Wireless Sensor Networks: Research Perspective - Couverture souple

 
9783659786693: Mobile Agent for Data Gathering in Wireless Sensor Networks: Research Perspective

Synopsis

Mobile agent is a vehicle equipped with powerful transceiver and battery which finds the shortest path to gather data from the sensors and finally transports the data to the sink. The problem of minimizing the length of each data-gathering tour is mainly focused here. The mobile agent involves Bee Colony Optimization for travelling salesman problem. The Artificial Bee Colony algorithm (ABC) optimization is a population-based search algorithm which applies the concept of social interaction to problem solving. This algorithm is applied to the process of path planning problems for the mobile agents; it finds the shortest path for the mobile agents to collect the data from sensors as well as best in computation time. The effectiveness of the paths has been evaluated with the parameters such as tour length, agent travel time by Artificial Bee Colony Algorithm. This algorithm also prolong the lifetime of the sensors when compared to other existing approaches. Artificial Bee Colony algorithm has the advantages of strong robustness, fast convergence and high flexibility. This approach gives the best results for finding the shortest path in a shortest time.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Mobile agent is a vehicle equipped with powerful transceiver and battery which finds the shortest path to gather data from the sensors and finally transports the data to the sink. The problem of minimizing the length of each data-gathering tour is mainly focused here. The mobile agent involves Bee Colony Optimization for travelling salesman problem. The Artificial Bee Colony algorithm (ABC) optimization is a population-based search algorithm which applies the concept of social interaction to problem solving. This algorithm is applied to the process of path planning problems for the mobile agents; it finds the shortest path for the mobile agents to collect the data from sensors as well as best in computation time. The effectiveness of the paths has been evaluated with the parameters such as tour length, agent travel time by Artificial Bee Colony Algorithm. This algorithm also prolong the lifetime of the sensors when compared to other existing approaches. Artificial Bee Colony algorithm has the advantages of strong robustness, fast convergence and high flexibility. This approach gives the best results for finding the shortest path in a shortest time.

Biographie de l'auteur

Dr. S. Ramesh, Faculty in the Department of Computer Science and Engineering at Anna University Regional Office, Madurai. Received his Ph.D in Information and Communication Engineering by 2015 from Anna University, Chennai.His research interests include Wireless Networks, Network Security, and Optimization Techniques.

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

Acheter neuf

Afficher cet article
EUR 31,27

Autre devise

EUR 9,70 expédition depuis Allemagne vers France

Destinations, frais et délais

Résultats de recherche pour Mobile Agent for Data Gathering in Wireless Sensor...

Image fournie par le vendeur

S. Ramesh|P. Uma Maheswari
ISBN 10 : 3659786691 ISBN 13 : 9783659786693
Neuf Couverture souple
impression à la demande

Vendeur : moluna, Greven, Allemagne

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ramesh S.Dr. S. Ramesh, Faculty in the Department of Computer Science and Engineering at Anna University Regional Office, Madurai. Received his Ph.D in Information and Communication Engineering by 2015 from Anna University, Chennai.H. N° de réf. du vendeur 158962483

Contacter le vendeur

Acheter neuf

EUR 31,27
Autre devise
Frais de port : EUR 9,70
De Allemagne vers France
Destinations, frais et délais

Quantité disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

S. Ramesh
ISBN 10 : 3659786691 ISBN 13 : 9783659786693
Neuf Taschenbuch
impression à la demande

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Mobile agent is a vehicle equipped with powerful transceiver and battery which finds the shortest path to gather data from the sensors and finally transports the data to the sink. The problem of minimizing the length of each data-gathering tour is mainly focused here. The mobile agent involves Bee Colony Optimization for travelling salesman problem. The Artificial Bee Colony algorithm (ABC) optimization is a population-based search algorithm which applies the concept of social interaction to problem solving. This algorithm is applied to the process of path planning problems for the mobile agents; it finds the shortest path for the mobile agents to collect the data from sensors as well as best in computation time. The effectiveness of the paths has been evaluated with the parameters such as tour length, agent travel time by Artificial Bee Colony Algorithm. This algorithm also prolong the lifetime of the sensors when compared to other existing approaches. Artificial Bee Colony algorithm has the advantages of strong robustness, fast convergence and high flexibility. This approach gives the best results for finding the shortest path in a shortest time. N° de réf. du vendeur 9783659786693

Contacter le vendeur

Acheter neuf

EUR 35,90
Autre devise
Frais de port : EUR 10,99
De Allemagne vers France
Destinations, frais et délais

Quantité disponible : 1 disponible(s)

Ajouter au panier

Image fournie par le vendeur

S. Ramesh
ISBN 10 : 3659786691 ISBN 13 : 9783659786693
Neuf Taschenbuch
impression à la demande

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Mobile agent is a vehicle equipped with powerful transceiver and battery which finds the shortest path to gather data from the sensors and finally transports the data to the sink. The problem of minimizing the length of each data-gathering tour is mainly focused here. The mobile agent involves Bee Colony Optimization for travelling salesman problem. The Artificial Bee Colony algorithm (ABC) optimization is a population-based search algorithm which applies the concept of social interaction to problem solving. This algorithm is applied to the process of path planning problems for the mobile agents; it finds the shortest path for the mobile agents to collect the data from sensors as well as best in computation time. The effectiveness of the paths has been evaluated with the parameters such as tour length, agent travel time by Artificial Bee Colony Algorithm. This algorithm also prolong the lifetime of the sensors when compared to other existing approaches. Artificial Bee Colony algorithm has the advantages of strong robustness, fast convergence and high flexibility. This approach gives the best results for finding the shortest path in a shortest time. 68 pp. Englisch. N° de réf. du vendeur 9783659786693

Contacter le vendeur

Acheter neuf

EUR 35,90
Autre devise
Frais de port : EUR 11
De Allemagne vers France
Destinations, frais et délais

Quantité disponible : 2 disponible(s)

Ajouter au panier

Image fournie par le vendeur

S. Ramesh
ISBN 10 : 3659786691 ISBN 13 : 9783659786693
Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Taschenbuch. Etat : Neu. Neuware -Mobile agent is a vehicle equipped with powerful transceiver and battery which finds the shortest path to gather data from the sensors and finally transports the data to the sink. The problem of minimizing the length of each data-gathering tour is mainly focused here. The mobile agent involves Bee Colony Optimization for travelling salesman problem. The Artificial Bee Colony algorithm (ABC) optimization is a population-based search algorithm which applies the concept of social interaction to problem solving. This algorithm is applied to the process of path planning problems for the mobile agents; it finds the shortest path for the mobile agents to collect the data from sensors as well as best in computation time. The effectiveness of the paths has been evaluated with the parameters such as tour length, agent travel time by Artificial Bee Colony Algorithm. This algorithm also prolong the lifetime of the sensors when compared to other existing approaches. Artificial Bee Colony algorithm has the advantages of strong robustness, fast convergence and high flexibility. This approach gives the best results for finding the shortest path in a shortest time.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch. N° de réf. du vendeur 9783659786693

Contacter le vendeur

Acheter neuf

EUR 35,90
Autre devise
Frais de port : EUR 15
De Allemagne vers France
Destinations, frais et délais

Quantité disponible : 2 disponible(s)

Ajouter au panier

Image d'archives

Ramesh, S., Uma Maheswari, P.
ISBN 10 : 3659786691 ISBN 13 : 9783659786693
Neuf paperback

Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni

Évaluation du vendeur 4 sur 5 étoiles Evaluation 4 étoiles, En savoir plus sur les évaluations des vendeurs

paperback. Etat : New. New. book. N° de réf. du vendeur ERICA82936597866916

Contacter le vendeur

Acheter neuf

EUR 135,18
Autre devise
Frais de port : EUR 29,29
De Royaume-Uni vers France
Destinations, frais et délais

Quantité disponible : 1 disponible(s)

Ajouter au panier