Enabling smart cities through a cognitive management framework for the internet of things

Panagiotis Vlacheas, Raffaele Giaffreda, Vera Stavroulaki, Dimitris Kelaidonis, Vassilis Foteinos, George Poulios, Panagiotis Demestichas, Andrey Somov, Abdur Biswas, Klaus Moessner

Research output: Contribution to journalArticlepeer-review

311 Citations (Scopus)

Abstract

The Internet of Things (IoT) is expected to substantially support sustainable development of future smart cities. This article identifies the main issues that may prevent IoT from playing this crucial role, such as the heterogeneity among connected objects and the unreliable nature of associated services. To solve these issues, a cognitive management framework for IoT is proposed, in which dynamically changing real-world objects are represented in a virtualized environment, and where cognition and proximity are used to select the most relevant objects for the purpose of an application in an intelligent and autonomic way. Part of the framework is instantiated in terms of building blocks and demonstrated through a smart city scenario that horizontally spans several application domains. This preliminary proof of concept reveals the high potential that self-reconfigurable IoT can achieve in the context of smart cities.

Original languageEnglish
Article number6525602
Pages (from-to)102-111
Number of pages10
JournalIEEE Communications Magazine
Volume51
Issue number6
DOIs
Publication statusPublished - 2013
Externally publishedYes

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