Advances in biologically inspired information systems :

"This book collects extended versions of selected outstanding papers originally submitted to BIONETICS 2006."--Pref., p. vi.

Includes bibliographical references.

Bio-inspired framework for autonomic communication systems / Sasitharan Balasubramaniam, Dmitri Botvich, William Donnelly, Micheal O. Foghlu and John Strassner -- Towards a biologically-inspired architecture for self-regulatory and evolvable network applications / Chonho Lee, Hiroshi Wada and Junichi Suzuki -- Biologically inspired synchronization for wireless networks / Alexander Tyrrell, Gunther Auer and Christian Bettstetter -- Bio-inspired congestion control : conceptual framework, algorithm and discussion / Morteza Analoui and Shahram Jamali -- Self-organized network security facilities based on bio-inspired promoters and inhibitors / Falko Dressier -- Context data dissemination in the bio-inspired service life cycle / Carsten Jacob, David Linner, Heiko Pfeffer, Ilja Radusch and Stephan Steglich -- Eigenvector centrality in highly partitioned mobile networks : principles and applications / Iacopo Carreras, Daniele Miorandi, Geoffrey S. Canright and Kenth Engo-Monsen -- Toward organization-oriented chemical programming : a case study with the maximal independent set problem / Naoki Matsumaru, Thorsten Leaser, Thomas Hinze and Peter Dittrich -- Evolving artificial cell signaling networks : perspectives and methods / James Decraene, George G. Mitchell and Barry McMullin -- Immune system-based energy efficient and reliable communication in wireless sensor networks / Baris Atakan and Ozgur B. Akan -- bio-inspired architecture for division of labour in SANETs / Thomas Halva Labella and Falko Dressler -- pragmatic model of attention and anticipation for active sensor systems / Sarin M. Iacob, Johan de Heer and Alfons H. Salden -- Self-organization for search in peer-to-peer networks / Elke Michlmayr -- bio-inspired location search algorithm for peer to peer networks / Sachin Kulkarni, Niloy Ganguly, Geoffrey Canright and Andreas Deutsch -- Ant colony optimization and its application to regular and dynamic MAX-SAT problems / Pedro C. Pinto, Thomas A. Runkler and Joao M. C. Sousa.