Developing pervasive multiagent systems with nature-inspired co-ordination
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Pervasive computing systems can be modelled effectively as populations of interacting autonomous components. The key challenge to realizing such models is in getting separately-specified and -developed sub-systems to discover and interoperate with each other in an open and extensible way, supported by appropriate middleware services. In this paper, we argue that nature-inspired coordination models offer a promising way of addressing this challenge. We first frame the various dimensions along which nature-inspired coordination models can be defined, and survey the most relevant proposals in the area. We describe the nature-inspired coordination model developed within the SAPERE project as a synthesis of existing approaches, and show how it can effectively support the multifold requirements of modern and emerging pervasive services. We conclude by identifying what we think are the open research challenges in this area, and identify some research directions that we believe are promising.
Zambonelli , F , Omicini , A , Anzengruber , B , Castelli , G , DeAngelis , F , di Marzo Serugendo , G , Dobson , S A , Fernandez Marquez , J-L , Ferscha , A , Mamei , M , Mariani , S , Molesini , A , Montagna , S , Nieminen , J , Pianini , D , Rosi , A , Stevenson , G T , Viroli , M & Ye , J 2015 , ' Developing pervasive multiagent systems with nature-inspired co-ordination ' Pervasive and Mobile Computing , vol. 17 , no. Part B , pp. 236-252 . https://doi.org/10.1016/j.pmcj.2014.12.002
Pervasive and Mobile Computing
© 2014 Elsevier B.V. All rights reserved. This is the author’s version of a work that was accepted for publication in Pervasive and Mobile Computing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Pervasive and Mobile Computing, 17, Part B, February 2015 DOI 10.1016/j.pmcj.2014.12.002
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