Advances in Biologically Inspired Information Systems 2007

Falko Dressler, Iacopo Carreras (Eds.): Advances in Biologically Inspired Information Systems: Models, Methods, and Tools. Studies in Computational Intelligence Vol. 69 Springer 2007, ISBN 978-3-540-72692-0 BibTeX

Mícheál Ó Foghlú, John Strassner:
Bio-inspired Framework for Autonomic Communication Systems. 3-19
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Chonho Lee, Hiroshi Wada, Junichi Suzuki:
Towards a Biologically-inspired Architecture for Self-Regulatory and Evolvable Network Applications. 21-45
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Alexander Tyrrell, Gunther Auer, Christian Bettstetter:
Biologically Inspired Synchronization for Wireless Networks. 47-62
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Morteza Analoui, Shahram Jamali:
Bio-Inspired Congestion Control: Conceptual Framework, Algorithm and Discussion. 63-80
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Falko Dressler:
Self-Organized Network Security Facilities based on Bio-inspired Promoters and Inhibitors. 81-98
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Carsten Jacob, David Linner, Heiko Pfeffer, Ilja Radusch, Stephan Steglich:
Context Data Dissemination in the Bio-inspired Service Life Cycle. 101-122
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Iacopo Carreras, Daniele Miorandi, Geoffrey Canright, Kenth Engø-Monsen:
Eigenvector Centrality in Highly Partitioned Mobile Networks: Principles and Applications. 123-145
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Naoki Matsumaru, Thorsten Lenser, Thomas Hinze, Peter Dittrich:
Toward Organization-Oriented Chemical Programming: A Case Study with the Maximal Independent Set Problem. 147-163
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James Decraene, George G. Mitchell, Barry McMullin:
Evolving Artificial Cell Signaling Networks: Perspectives and Methods. 165-184
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Baris Atakan, Özgür B. Akan:
Immune System-based Energy Efficient and Reliable Communication in Wireless Sensor Networks. 187-207
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Thomas Halva Labella, Falko Dressler:
A Bio-Inspired Architecture for Division of Labour in SANETs. 209-228
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Sorin M. Iacob, Johan de Heer, Alfons H. Salden:
A Pragmatic Model of Attention and Anticipation for Active Sensor Systems. 229-243
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Elke Michlmayr:
Self-Organization for Search in Peer-to-Peer Networks. 247-266
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Sachin Kulkarni, Niloy Ganguly, Geoffrey Canright, Andreas Deutsch:
A Bio-Inspired Location Search Algorithm for Peer to Peer Networks. 267-282
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Pedro C. Pinto, Thomas A. Runkler, João M. C. Sousa:
Ant Colony Optimization and its Application to Regular and Dynamic MAX-SAT Problems. 283-302
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