Agent-oriented cooperative smart objects: From IoT system design to implementation

Giancarlo Fortino, Wilma Russo, Claudio Savaglio, Weiming Shen, Mengchu Zhou

Research output: Contribution to journalArticlepeer-review

102 Scopus citations

Abstract

The future Internet of Things (IoT) is expected to enable a new and wide range of decentralized systems (from small-scale smart homes to large-scale smart cities) in which 'things' are able to sense/actuate, compute, and communicate, and thus play a central and crucial role. The growing importance of such novel networked cyber-physical context demands suitable and effective computing paradigms to fulfill the various requirements of IoT systems engineering. In this paper, we propose to explore an agent-based computing paradigm to support IoT systems analysis, design, and implementation. The synergic meeting of agents with IoT makes it possible to develop smart and dynamic IoT systems of diverse scales. Our agent-oriented approach is specifically based on the agent-based cooperating smart object (ACOSO) methodology and on the related ACOSO middleware: They provide effective agent design and programming models along with efficient tools for the actual construction of an IoT system in terms of a multiagent system. A case study concerning the development of a complex IoT system, namely a Smart University Campus, is described to show the effectiveness and efficiency of the proposed approach.

Original languageEnglish (US)
Article number8241454
Pages (from-to)1949-1956
Number of pages8
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume48
Issue number11
DOIs
StatePublished - Nov 2018

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

Keywords

  • Agent-oriented software engineering
  • Internet of Things (IoT)
  • cooperative smart objects
  • multiagent systems (MASs)

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