Next Article in Journal
Evaluation of a Cubature Kalman Filtering-Based Phase Unwrapping Method for Differential Interferograms with High Noise in Coal Mining Areas
Next Article in Special Issue
Contextual Sensing: Integrating Contextual Information with Human and Technical Geo-Sensor Information for Smart Cities
Previous Article in Journal
Nucleic Acid Aptamers: An Emerging Tool for Biotechnology and Biomedical Sensing
Previous Article in Special Issue
Providing IoT Services in Smart Cities through Dynamic Augmented Reality Markers
Article Menu

Export Article

Open AccessArticle
Sensors 2015, 15(7), 16314-16335;

A Smart City Lighting Case Study on an OpenStack-Powered Infrastructure

Mobile and Distributed Systems Lab, Dipartimento di Ingegneria, Università di Messina, Contrada di Dio, 98166 Messina, Italy
Dipartimento DIEEI, Università di Catania, Viale Andrea Doria 6, 98166 Catania, Italy
Social and Urban Computing Group, Higher Institute of Information Technologies and Information Systems, Kazan Federal University, 35 Kremlevskaya street, 420008 Kazan, Russia
Dipartimento DEIB, Politecnico di Milano, Piazza L. Da Vinci 32, 20133 Milano, Italy
Sensor Network & Smart Environment Research Lab, School of Engineering, Auckland University of Technology, 34 St Paul Street (City Campus), Auckland 1010, New Zealand
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 14 May 2015 / Revised: 25 June 2015 / Accepted: 29 June 2015 / Published: 6 July 2015
(This article belongs to the Special Issue Sensors and Smart Cities)
Full-Text   |   PDF [1845 KB, uploaded 6 July 2015]   |  


The adoption of embedded systems, mobile devices and other smart devices keeps rising globally, and the scope of their involvement broadens, for instance, in smart city-like scenarios. In light of this, a pressing need emerges to tame such complexity and reuse as much tooling as possible without resorting to vertical ad hoc solutions, while at the same time taking into account valid options with regard to infrastructure management and other more advanced functionalities. Existing solutions mainly focus on core mechanisms and do not allow one to scale by leveraging infrastructure or adapt to a variety of scenarios, especially if actuators are involved in the loop. A new, more flexible, cloud-based approach, able to provide device-focused workflows, is required. In this sense, a widely-used and competitive framework for infrastructure as a service, such as OpenStack, with its breadth in terms of feature coverage and expanded scope, looks to fit the bill, replacing current application-specific approaches with an innovative application-agnostic one. This work thus describes the rationale, efforts and results so far achieved for an integration of IoT paradigms and resource ecosystems with such a kind of cloud-oriented device-centric environment, by focusing on a smart city scenario, namely a park smart lighting example, and featuring data collection, data visualization, event detection and coordinated reaction, as example use cases of such integration. View Full-Text
Keywords: IoT; smart city; cloud; IaaS; OpenStack; ceilometer; MOM; AMQP; CoAP; REST; CEP IoT; smart city; cloud; IaaS; OpenStack; ceilometer; MOM; AMQP; CoAP; REST; CEP

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Merlino, G.; Bruneo, D.; Distefano, S.; Longo, F.; Puliafito, A.; Al-Anbuky, A. A Smart City Lighting Case Study on an OpenStack-Powered Infrastructure. Sensors 2015, 15, 16314-16335.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top