2019
Cicirelli, F.; Guerrieri, A.; Spezzano, G.; Vinci, A.
A Cognitive Enabled, Edge-Computing Architecture for Future Generation IoT Environments Proceedings Article
In: 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), IEEE, 2019, ISBN: 9781538649800.
Abstract | Links | BibTeX | Tag: Architectures, Cognitive Internet of Things, Edge computing, smart environments
@inproceedings{Cicirelli2019b,
title = {A Cognitive Enabled, Edge-Computing Architecture for Future Generation IoT Environments},
author = {F. Cicirelli and A. Guerrieri and G. Spezzano and A. Vinci},
doi = {10.1109/WF-IoT.2019.8767246},
isbn = {9781538649800},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
booktitle = {2019 IEEE 5th World Forum on Internet of Things (WF-IoT)},
journal = {IEEE 5th World Forum on Internet of Things, WF-IoT 2019 - Conference Proceedings},
publisher = {IEEE},
abstract = {Nowadays, Smart Environments (SEs) are pervasively deployed in buildings (e.g., houses, schools, and offices) and outdoor environments with the goal of improving the quality of life of their inhabitants. SEs are usually designed and developed by using well-suited architectures and platforms having the aim of simplifying and making straightforward the SE implementation. Up to now, SEs are mostly reactive and, in some ways, proactive. Current research efforts are devoted to making such environments cognitive, i.e., able to automatically adapt and adhere to the possible changes in users' needs and behaviors. Anyway, in this field, the development of SEs is still in its infancy. In this direction, the paper proposes a novel Cognitive-enabled, Edge-based Internet of Things (CEIoT) architecture, purposely designed to develop cognitive IoT-based SEs. Such architecture wants to overcome some limitations arising during the usage of common SE platforms and architectures. CEIoT introduces some abstractions ranging from the "in-platform" implementation of decentralized cognitive algorithms to the realization of smart data aggregations.},
keywords = {Architectures, Cognitive Internet of Things, Edge computing, smart environments},
pubstate = {published},
tppubtype = {inproceedings}
}
Nowadays, Smart Environments (SEs) are pervasively deployed in buildings (e.g., houses, schools, and offices) and outdoor environments with the goal of improving the quality of life of their inhabitants. SEs are usually designed and developed by using well-suited architectures and platforms having the aim of simplifying and making straightforward the SE implementation. Up to now, SEs are mostly reactive and, in some ways, proactive. Current research efforts are devoted to making such environments cognitive, i.e., able to automatically adapt and adhere to the possible changes in users' needs and behaviors. Anyway, in this field, the development of SEs is still in its infancy. In this direction, the paper proposes a novel Cognitive-enabled, Edge-based Internet of Things (CEIoT) architecture, purposely designed to develop cognitive IoT-based SEs. Such architecture wants to overcome some limitations arising during the usage of common SE platforms and architectures. CEIoT introduces some abstractions ranging from the "in-platform" implementation of decentralized cognitive algorithms to the realization of smart data aggregations.