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

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.

Questioning if Macro-Systemic Top-Down Approaches Should Be Used to Develop Smart Cities of the Future

“…As a concrete example, from the public space point of view, Barcelona's Sentilo platform uses more than 1800 sensors to monitor data about energy, noise, urban lab, garbage collection, and parking spots, and this number is expected to increase over time (Sinaeepourfard et al, 2016). Many sensing applications are dedicated to energy efficiency and environmental protection; as these topics are top concerns of the twentyfirst century (see, for instance, Pradeep Kumar, 2016, Merlino et al, 2015, Shamsir et al, 2017.…”

Empirical Study of How Traffic Intensity Detector Parameters Influence Dynamic Street Lighting Energy Consumption: A Case Study in Krakow, Poland

“…A growing number of available data sources providing information about our environment is one of the main reasons behind this. Data comes from standalone sensor systems and Internet-of-Things (IoT) devices [5][6][7]. Some of the main drivers are safety, quality of life and sustainability, including electric energy savings [2,8].…”

Improving Control Efficiency of Dynamic Street Lighting by Utilizing the Dual Graph Grammar Concept

“…The main technological enablers are Internet of Things (IoT) and sensor nets resulting in broad availability of data [4,7,8]. The main drivers are safety, convenience and, last but not least, economic factors such as energy savings [9,10].…”

“…Synergy of knowledge regarding different aspects of the space under consideration can result in added value [3]. An illustrative example is street and road lighting [4]. A formal architectural model can represent features such as streets, pavements, sidewalks, medians, buildings, trees etc.…”