The ant colony algorithm is one of the most successful experiences based on swarm intelligence. Ant colonies reside in social insect societies and maintain distributed systems that present a highly structured social organization despite of the simplicity of their individuals. In this book, Intelligent AntNet based Routing Algorithm (IANRA) is presented for routing in WMNs and MANET to find optimum and near-optimum paths for data packet routing. Furthermore the performance of proposed IANRA has been investigated and compared with other Routing protocols in the same category.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Ayyoub Akbari Moghanjoughi, a member of IEEE, COMSOC and International Association of Engineers, graduated in field of Communication and Network Engineering from Universiti Putra Malaysia. His main research interests lies in Wireless and Mobile Communication Networks, Heterogeneous Wireless Networks, Quality of Service and Quality of Experience.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The ant colony algorithm is one of the most successful experiences based on swarm intelligence. Ant colonies reside in social insect societies and maintain distributed systems that present a highly structured social organization despite of the simplicity of their individuals. In this book, Intelligent AntNet based Routing Algorithm (IANRA) is presented for routing in WMNs and MANET to find optimum and near-optimum paths for data packet routing. Furthermore the performance of proposed IANRA has been investigated and compared with other Routing protocols in the same category. 112 pp. Englisch. N° de réf. du vendeur 9783659282775
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Akbari Moghanjoughi AyyoubAyyoub Akbari Moghanjoughi, a member of IEEE, COMSOC and International Association of Engineers, graduated in field of Communication and Network Engineering from Universiti Putra Malaysia. His main research . N° de réf. du vendeur 5145511
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The ant colony algorithm is one of the most successful experiences based on swarm intelligence. Ant colonies reside in social insect societies and maintain distributed systems that present a highly structured social organization despite of the simplicity of their individuals. In this book, Intelligent AntNet based Routing Algorithm (IANRA) is presented for routing in WMNs and MANET to find optimum and near-optimum paths for data packet routing. Furthermore the performance of proposed IANRA has been investigated and compared with other Routing protocols in the same category.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch. N° de réf. du vendeur 9783659282775
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The ant colony algorithm is one of the most successful experiences based on swarm intelligence. Ant colonies reside in social insect societies and maintain distributed systems that present a highly structured social organization despite of the simplicity of their individuals. In this book, Intelligent AntNet based Routing Algorithm (IANRA) is presented for routing in WMNs and MANET to find optimum and near-optimum paths for data packet routing. Furthermore the performance of proposed IANRA has been investigated and compared with other Routing protocols in the same category. N° de réf. du vendeur 9783659282775
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Taschenbuch. Etat : Neu. Performance Analysis of Swarm Intelligence Based Routing Protocols | MANET and Wireless Mesh Networks | Ayyoub Akbari Moghanjoughi (u. a.) | Taschenbuch | 112 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659282775 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 106200997
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