Language: English
Published by Medical Info Science Reference, 2011
ISBN 10: 1613500920 ISBN 13: 9781613500927
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Language: English
Published by Medical Info Science Reference, 2011
ISBN 10: 1613500920 ISBN 13: 9781613500927
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Language: English
Published by Medical Information Science Reference, 2011
ISBN 10: 1613500920 ISBN 13: 9781613500927
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers current perspectives and trends in biologically inspired networking, exploring various approaches aimed at improving network paradigms. Research contained within this compendium of research papers and surveys introduces researches in the fields of co.
Language: English
Published by Medical Information Science Reference, 2011
ISBN 10: 1613500920 ISBN 13: 9781613500927
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Biologically Inspired Networking and Sensing | Algorithms and Architectures | Pietro Lio (u. a.) | Buch | Gebunden | Englisch | 2011 | Medical Information Science Reference | EAN 9781613500927 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Language: English
Published by Medical Information Science Reference, 2011
ISBN 10: 1613500920 ISBN 13: 9781613500927
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Despite their widespread impact, computer networks that provide the foundation for the World Wide Web and Internet have many limitations. These networks are vulnerable to security threats, break easily, and have a limited ability to respond to changing conditions. Recent research on overcoming these limitations has used biological systems for inspiration, resulting in the development of biologically-inspired computer networks. These networks are designed and developed using principles that are commonly found in natural and biological systems. Biologically Inspired Networking and Sensing: Algorithms and Architectures offers current perspectives and trends in biologically-inspired networking, exploring various approaches aimed at improving network paradigms. Research contained within this compendium of papers and surveys introduces studies in the fields of communication networks, performance modeling, and distributed computing, as well as new advances in networking.