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
- Mícheál Ó Foghlú, John Strassner:
Bio-inspired Framework for Autonomic Communication Systems.
3-19
- Chonho Lee, Hiroshi Wada, Junichi Suzuki:
Towards a Biologically-inspired Architecture for Self-Regulatory and Evolvable Network Applications.
21-45
- Alexander Tyrrell, Gunther Auer, Christian Bettstetter:
Biologically Inspired Synchronization for Wireless Networks.
47-62
- Morteza Analoui, Shahram Jamali:
Bio-Inspired Congestion Control: Conceptual Framework, Algorithm and Discussion.
63-80
- Falko Dressler:
Self-Organized Network Security Facilities based on Bio-inspired Promoters and Inhibitors.
81-98
- Carsten Jacob, David Linner, Heiko Pfeffer, Ilja Radusch, Stephan Steglich:
Context Data Dissemination in the Bio-inspired Service Life Cycle.
101-122
- Iacopo Carreras, Daniele Miorandi, Geoffrey Canright, Kenth Engø-Monsen:
Eigenvector Centrality in Highly Partitioned Mobile Networks: Principles and Applications.
123-145
- Naoki Matsumaru, Thorsten Lenser, Thomas Hinze, Peter Dittrich:
Toward Organization-Oriented Chemical Programming: A Case Study with the Maximal Independent Set Problem.
147-163
- James Decraene, George G. Mitchell, Barry McMullin:
Evolving Artificial Cell Signaling Networks: Perspectives and Methods.
165-184
- Baris Atakan, Özgür B. Akan:
Immune System-based Energy Efficient and Reliable Communication in Wireless Sensor Networks.
187-207
- Thomas Halva Labella, Falko Dressler:
A Bio-Inspired Architecture for Division of Labour in SANETs.
209-228
- Sorin M. Iacob, Johan de Heer, Alfons H. Salden:
A Pragmatic Model of Attention and Anticipation for Active Sensor Systems.
229-243
- Elke Michlmayr:
Self-Organization for Search in Peer-to-Peer Networks.
247-266
- Sachin Kulkarni, Niloy Ganguly, Geoffrey Canright, Andreas Deutsch:
A Bio-Inspired Location Search Algorithm for Peer to Peer Networks.
267-282
- Pedro C. Pinto, Thomas A. Runkler, João Miguel da Costa Sousa:
Ant Colony Optimization and its Application to Regular and Dynamic MAX-SAT Problems.
283-302
Copyright © Tue Mar 16 01:51:59 2010
by Michael Ley (ley@uni-trier.de)