2013
EMSS 2013 Proceeding
Modeling autonomic monitoring and control for IoT systems
Authors: Zenon Chaczko, Ryszard Klempous, Jan Nikodem
Abstract
This paper introduces a bio-inspired approach for development of collective intelligence based computational models. These models are suitable for autonomous sensing, monitoring and control strategies for ambient systems based on Internet of Things technologies. Authors discuss issues and challenges related to modelling, design and implementation of a large scale, Internet of Things based smart system infrastructure such as smart office building, airport, public transport, etc. Additionally, various autonomous management strategies that anticipate variable levels of resource usage in Internet of Things systems are being presented
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