Developing pervasive multiagent systems with nature-inspired co-ordination

Franco Zambonelli, Andrea Omicini, Bernhard Anzengruber, Gabriella Castelli, Francesco DeAngelis, Giovanan di Marzo Serugendo, Simon Andrew Dobson, Jose-Luis Fernandez Marquez, Alois Ferscha, Marco Mamei, Stefano Mariani, Ambra Molesini, Sara Montagna, Jussi Nieminen, Danilo Pianini, Alberto Rosi, Graeme Turnbull Stevenson, Mirko Viroli, Juan Ye

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74 Citations (Scopus)
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Abstract

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.
Original languageEnglish
Pages (from-to)236-252
JournalPervasive and Mobile Computing
Volume17
Issue numberPart B
Early online date11 Dec 2014
DOIs
Publication statusPublished - Feb 2015

Keywords

  • Pervasive computing
  • Multi-agent systems
  • Coordination models
  • Self-organization

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