Towards a Reference Architecture for Swarm Intelligence-Based Internet of Things
Author(s) -
Ouarda Zedadra,
Claudio Savaglio,
Nicolas Jouandeau,
Antonio Guerrieri,
Hamid Séridi,
Giancarlo Fortino
Publication year - 2018
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
DOI - 10.1007/978-3-319-97795-9_7
Subject(s) - computer science , swarm intelligence , internet of things , architecture , swarm behaviour , focus (optics) , the internet , artificial intelligence , class (philosophy) , distributed computing , human–computer interaction , computer security , world wide web , particle swarm optimization , machine learning , art , physics , optics , visual arts
The Internet of Things (IoT) represents the global network which interconnects digital and physical entities. It aims at providing objects with intelligence that allows them to perceive, decide and cooperate with other objects, machines, systems and even humans to enable a whole new class of applications and services. Agent-Based Computing paradigm has been exploited to deal with the IoT system development. Many research works focus on making objects able to think by themselves thus imitating human brain. Swarm intelligence-based systems provide decentralized, self-organized and robust systems with consideration of coordination frameworks. We explore in this paper the exploitation of swarm intelligence-based features in IoT-based systems. Therefore, we present a reference swarm-based architectural model that enables cooperation among devices in IoT systems.
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