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Bioinspired Models of Network, Information, and Computing Systems

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Bioinspired Models of Network, Information, and Computing Systems Synopsis

This volume of LNICST is a collection of the papers of the 4th International Conference on Bio-Inspired Models of Network, Information, and Computing Systems (Bionetics). The event took place in the medieval city of Avignon, known also as the City of the Popes, during December 9 to 11, 2009. Bionetics main objective is to bring b- inspired paradigms into computer engineereing and networking, and to enhance the fruitful interactions between these fields and biology. The program of the conference indeed includes applications of various paradigms that have their origin in biology: population dynamics, branching processes, ant c- ony optimization. The proceedings include 19 papers covering a broad range of - portant issues in areas related to bio-inspired technologies. They correspond to pr- entations at 6 technical sessions. Four papers correspond to an invited session on the Epidemic-type forwarding in DTNs (sparse mobile ad-hoc wireless networks) org- ized by Dr Francesco De Pellegrini, (Italy, CREATE-NET). The following 9 papers (selected out of 15 submissions) correspond to contributions to regular sessions on Bio-inspired security, Bio-Inspired Networking, Bioinspired algorithms and software systems. The remaining 6 papers (selected out of a total of 9 submissions) are de- cated to work in progress. For each paper, we have provided at least two independent reviews, most of which were offered by members of the TPC.

About This Edition

ISBN: 9783642128073
Publication date:
Author: Yezekael Hayel, Emma Hart, Rachid ElAzouzi, Iacopo Carrera, Eitan Altman
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 203 pages
Series: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Genres: Network hardware
Algorithms and data structures
Software Engineering
Applied computing
Computer programming / software engineering