Bio-Inspired Approaches for Autonomic Pervasive Computing Systems

In this chapter, we present some of the biologically-inspired approaches, developed within the context of the European project BIONETS for enabling autonomic pervasive computing environments. The set of problems addressed include networking as well as service management issues. The approach pursued is based on the use of evolutionary techniques -- properly embedded in the system components -- as a means to achieve fully autonomic behaviour.

[1]  Jon Crowcroft,et al.  Plutarch: an argument for network pluralism , 2003, FDNA '03.

[2]  Rachid El Azouzi,et al.  Delayed Evolutionary Game Dynamics applied to Medium Access Control , 2007, 2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems.

[3]  Pascal Fradet,et al.  Unconventional Programming Paradigms, International Workshop UPP 2004, Le Mont Saint Michel, France, September 15-17, 2004, Revised Selected and Invited Papers , 2005, UPP.

[4]  Wolfgang Banzhaf,et al.  Artificial ChemistriesA Review , 2001, Artificial Life.

[5]  Witold Pedrycz,et al.  Autonomic Communication , 2009 .

[6]  Mark Weiser.  The computer for the 21st century , 1991 .

[7]  Lidia Yamamoto.  PlasmidPL: A Plasmid-Inspired Language for Genetic Programming , 2008, EuroGP.

[8]  Eitan Altman,et al.  Asymmetric delay in evolutionary games , 2007, VALUETOOLS.

[9]  Kevin R. Fall,et al.  A delay-tolerant network architecture for challenged internets , 2003, SIGCOMM '03.

[10]  Peter Dittrich,et al.  Chemical Computing , 2004, UPP.

[11]  C. Tschudin.  Fraglets – a Metabolistic Execution Model for Communication Protocols , 2003 .

[12]  Franco Zambonelli,et al.  A survey of autonomic communications , 2006, TAAS.

[13]  J M Smith,et al.  Evolution and the theory of games , 1976 .

[14]  Risto Miikkulainen,et al.  A Taxonomy for Artificial Embryogeny , 2003, Artificial Life.

[15]  Mark Weiser,et al.  The computer for the 21st Century , 1991, IEEE Pervasive Computing.

[16]  Amin Vahdat,et al.  Epidemic Routing for Partially-Connected Ad Hoc Networks , 2009 .

[17]  Daniele Miorandi,et al.  Embedding Evolution in Epidemic-Style Forwarding , 2007, 2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems.

[18]  Leo W. Buss,et al.  “The arrival of the fittest”: Toward a theory of biological organization , 1994 .

[19]  Lidia Yamamoto,et al.  Code Regulation in Open Ended Evolution , 2007, EuroGP.

[20]  Josef Hofbauer,et al.  Evolutionary Games and Population Dynamics , 1998 .

[21]  Peter Dittrich,et al.  Chemical Organisation Theory , 2007, Bulletin of mathematical biology.

[22]  Gianluca Tempesti,et al.  Embryonics: Electronic Stem Cells , 2002 .

[23]  Imrich Chlamtac,et al.  BIONETS: Bio-Inspired Networking for Pervasive Communication Environments , 2007, IEEE Transactions on Vehicular Technology.

[24]  Christian F. Tschudin,et al.  Experiments on the Automatic Evolution of Protocols Using Genetic Programming , 2005, WAC.

[25]  Jeffrey O. Kephart,et al.  The Vision of Autonomic Computing , 2003, Computer.

[26]  W. Banzhaf,et al.  Genetic Programming of an Algorithmic Chemistry , 2005 .

[27]  Pietro Speroni di Fenizio,et al.  Chemical Organisation Theory , 2005, Bulletin of mathematical biology.