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

Merlino G, Bruneo D, Distefano S, Longo F, Puliafito A, Al-Anbuky A - Sensors (Basel) (2015)

Bottom Line: 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.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 Article: PubMed Central - PubMed

Affiliation: Mobile and Distributed Systems Lab, Dipartimento di Ingegneria, Università di Messina, Contrada di Dio, 98166 Messina, Italy. gmerlino@unime.it.

ABSTRACT
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.

No MeSH data available.


Standard lamp used currently at the park (Left); possible replacement with a modern LED light (Right).
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f3-sensors-15-16314: Standard lamp used currently at the park (Left); possible replacement with a modern LED light (Right).

Mentions: Recent work encourages enhancements to the infrastructure, through sensing, actuation and communication, to provide other services [23]. Networking and communication facilities have been considered from a maintenance and operational perspective [24,25]. A more comprehensive approach to the exploitation of facilities calls for the integration of sensing, actuation and networking for interaction with spaces and users. A number of objectives may be targeted here, including energy saving and shared space safety [23]. Here, each lamppost could be equipped with, or connected to, heterogeneous sensors, like sound, light, human presence, and image sensors, in addition to LED lamps (see Figure 3). Such heterogeneous sensing provides some form of cooperative behaviour through the activation of a subset of the sensors and/or actuators, according to information originating from another subset of sensors. For example, a human presence sensor coupled with the detection of high sound intensity may indicate that there is an event that should be captured by the camera.


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

Merlino G, Bruneo D, Distefano S, Longo F, Puliafito A, Al-Anbuky A - Sensors (Basel) (2015)

Standard lamp used currently at the park (Left); possible replacement with a modern LED light (Right).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541880&req=5

f3-sensors-15-16314: Standard lamp used currently at the park (Left); possible replacement with a modern LED light (Right).
Mentions: Recent work encourages enhancements to the infrastructure, through sensing, actuation and communication, to provide other services [23]. Networking and communication facilities have been considered from a maintenance and operational perspective [24,25]. A more comprehensive approach to the exploitation of facilities calls for the integration of sensing, actuation and networking for interaction with spaces and users. A number of objectives may be targeted here, including energy saving and shared space safety [23]. Here, each lamppost could be equipped with, or connected to, heterogeneous sensors, like sound, light, human presence, and image sensors, in addition to LED lamps (see Figure 3). Such heterogeneous sensing provides some form of cooperative behaviour through the activation of a subset of the sensors and/or actuators, according to information originating from another subset of sensors. For example, a human presence sensor coupled with the detection of high sound intensity may indicate that there is an event that should be captured by the camera.

Bottom Line: 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.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 Article: PubMed Central - PubMed

Affiliation: Mobile and Distributed Systems Lab, Dipartimento di Ingegneria, Università di Messina, Contrada di Dio, 98166 Messina, Italy. gmerlino@unime.it.

ABSTRACT
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.

No MeSH data available.