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International Journal of Distributed Sensor Networks
Volume 2012 (2012), Article ID 193864, 15 pages
Research Article

A Mobile Computing Framework for Pervasive Adaptive Platforms

1LIRMM UMR 5506, Université Montpellier 2, CNRS, 161 Rue ADA, 34095 Montpellier Cedex 5, France
2Département des Systèmes d'Information, Faculté des Hautes Études Commerciales, Université de Lausanne, 1015 Lausanne, Switzerland
3LEAD-UMR 5022, Université de Bourgogne, CNRS, Pôle AAFE, Esplanade ERASME, BP 26513, 21065 Dijon Cedex, France

Received 15 June 2011; Accepted 16 September 2011

Academic Editor: Yuhang Yang

Copyright © 2012 Olivier Brousse et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Ubiquitous computing is now the new computing trend, such systems that interact with their environment require self-adaptability. Bioinspiration is a natural candidate to provide the capability to handle complex and changing scenarios. This paper presents a programming framework dedicated to pervasive platforms programming. This bioinspired and agentoriented framework has been developed within the frame of the PERPLEXUS European project that is intended to provide support for bioinspiration-driven system adaptability. This framework enables the platform to adapt itself to application requirements at high-level while using hardware acceleration at node level. The resulting programming solution has been used to program three collaborative robotic applications in which robots learn tasks and evolve for achieving a better adaptation to their environment.