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Towards Interoperable, Cognitive and Autonomic IoT Systems: an Agent-based Approach

Conference Paper
Publication Date:
2016
abstract:
Within the Information and Communication Technology hype cycle the Internet of Things (IoT) represents a prominent subject, being rich in potentiality as well as in development issues. In this paper, we face the IoT developing process first "in the small" by designing the Smart Objects (SOs, representing the fundamental IoT building blocks) as agents, and after "in the large" by treating the IoT systems as Multi Agent Systems (MASs). Indeed, the agent abstraction is a suitable paradigm to instill smartness and autonomy within a single SO and consequently to realize distributed, self-steering and heterogeneous IoT systems. In such directions, the Agent-based COoperating SO (ACOSO) middleware represents a viable solution for the programming, development and management of agent-based SO systems while its performance verification on different IoT networks of different scale has been made through the Omnet++ simulator.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Internet of Things; Agent-based computing; Cognitive Systems; Autonomic Computing; Interoperability
List of contributors:
Savaglio, Claudio
Authors of the University:
SAVAGLIO CLAUDIO
Handle:
https://iris.cnr.it/handle/20.500.14243/383746
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