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A cognitive network is a network which can learn to improve its performance while operating under its unknown and dynamic environment. Cognitive engine as part of a cognitive network tries to adaptively find an appropriate configuration for the network. The cognitive networks such as cognitive radio networks, cognitive sensor networks, cognitive wireless mesh networks, cognitive mobile ad-hoc networks, and cognitive personal networks have received much attention in recent years. Up until now no peer-to-peer network management algorithm has been designated utilizing cognitive networking concepts. In this book, we adopt cognitive networking concepts and present a new framework for cognitive peer-to-peer networks and then propose an approach based on Dynamic Cellular Learning Automata for designing cognitive engines for solving network management problems in peer-to-peer networks.
| Autorius: | Ali Mohammad Saghiri |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2016 |
| Knygos puslapių skaičius: | 60 |
| ISBN-10: | 3659976695 |
| ISBN-13: | 9783659976698 |
| Formatas: | 220 x 150 x 4 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Cognitive Peer-to-Peer Networks utilizing DCLA based Cognitive Engines: A New Approach for Managing Peer-to-Peer Networks“
