Authors:
André Duarte
1
;
Carlos Oliveira
2
and
Jorge Bernardino
3
Affiliations:
1
Polytechnic of Coimbra, Ubiwhere and Lda., Portugal
;
2
Ubiwhere and Lda., Portugal
;
3
Polytechnic of Coimbra and CISUC – Centre for Informatics and Systems of the University of Coimbra, Portugal
Keyword(s):
Smart Cities, Machine to Machine (M2M), Machine Learning, Internet of Things (IoT).
Related
Ontology
Subjects/Areas/Topics:
Cloud Computing
;
Data Communication Networking
;
Enterprise Information Systems
;
Internet of Things
;
Semantic Web Technologies
;
Sensor Networks
;
Services Science
;
Software Agents and Internet Computing
;
Software and Architectures
;
Telecommunications
Abstract:
Smart cities are usually defined as modern cities with smooth information processes, facilitation mechanisms
for creativity and innovativeness, and smart and sustainable solutions promoted through service platforms.
With the objective of improving citizen’s quality of life and quickly and efficiently make informed decisions,
authorities try to monitor all information of city systems. Smart cities provide the integration of all systems
in the city via a centralized command centre, which provides a holistic view of it. As smart cities emerge, old
systems already in place are trying to evolve to become smarter, although these systems have many specific
needs that need to be attended. With the intent to suit the needs of specific systems the focus of this work is
to gather viable information that leads to analyse and, present solutions to address their current shortcomings.
In order to understand the most scalable, adaptable and interoperable architecture for the problem, existing
archit
ectures will be analysed as well as the algorithms that make them work. To this end, we propose a new
architecture to smart cities.
(More)