Metamodeling of Smart Environments: from design to implementation

Cicirelli, Franco; Fortino, Giancarlo; Guerrieri, Antonio; Spezzano, Giandomenico; Vinci, Andrea

doi:10.1016/j.aei.2016.11.005

Cited by 52 publications

(27 citation statements)

References 12 publications

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“…In this current version SAREF only covers household appliances at a physical level. A meta model was built by [20] in order to annotate the sensory data. While this study introduced numerous metadata to represent sensory observations and devices, it is suffers from not having any links to one of the well-known W3C Semantic Sensor Network Ontology 4 .…”

Section: Smart City Frameworkmentioning

confidence: 99%

Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams

Kolozali

Bermúdez-Edo

Farajidavar

et al. 2019

IEEE Internet Things J.

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An increasing number of cities are confronted with challenges resulting from the rapid urbanisation and new demands that a rapidly growing digital economy imposes on current applications and information systems. Smart city applications enable city authorities to monitor, manage and provide plans for public resources and infrastructures in city environments, while offering citizens and businesses to develop and use intelligent services in cities. However, providing such smart city applications gives rise to several issues such as semantic heterogeneity and trustworthiness of data sources, and extracting up-to-date information in real time from large-scale dynamic data streams. In order to address these issues, we propose a novel framework with an efficient semantic data processing pipeline, allowing for real-time observation of the pulse of a city. The proposed framework enables efficient semantic integration of data streams and complex event processing on top of real-time data aggregation and quality analysis in a Semantic Web environment. To evaluate our system, we use real-time sensor observations that have been published via an open platform called Open Data Aarhus by the City of Aarhus. We examine the framework utilising Symbolic Aggregate Approximation to reduce the size of data streams, and perform quality analysis taking into account both single and multiple data streams. We also investigate the optimisation of the semantic data discovery and integration based on the proposed stream quality analysis and data aggregation techniques.

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Section: Smart City Frameworkmentioning

confidence: 99%

Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams

Kolozali

Bermúdez-Edo

Farajidavar

et al. 2019

IEEE Internet Things J.

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“…At present, cities and their hinterlands are no longer seen as a part of the ecological crisis, but rather as an area where it is appropriate and possible to apply innovative patterns of sustainable consumption in terms of smart growth [56] and smart environment [57]. Smart environment is basically a classic physical environment which is enriched with monitoring, control, communication and computing capabilities throughout, from which knowledge of the environment is acquired and further used in order to reflect the needs and preferences of the local inhabitants [58].…”

Section: Suburbanisation-possible Solutions and Challenges For The Fumentioning

confidence: 99%

Impact of Suburbanisation on Sustainable Development of Settlements in Suburban Spaces: Smart and New Solutions

2019

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The aim of this article is to evaluate the impact of suburbanisation on the development of settlements with an emphasis on environmental aspects that need to be addressed in the process of extensive growth of municipalities in suburban regions. In the theoretical part, the article evaluates the processes of suburbanisation and their environmental impact. On a methodological level, municipalities in the suburban zone were first defined on the basis of driving distances. These municipalities were subjected to an analysis of the intensity of residential suburbanisation by calculating a multicriteria indicator from five selected criteria. In the second part of the analysis, a questionnaire survey of mayors was carried out in the particular municipalities. The responses were evaluated using the Likert scale method, and then statistically significant dependencies were sought among individual phenomena and environmental problems which need to be solved by the municipal management due to the growth of municipalities. It was found that the mayors consider changes in the landscape character to be among the most significant impacts of suburbanisation in the territory. A change in the rural character of municipalities because of the construction of urban-type houses is perceived as being very problematic. Another serious problem is the insufficient capacity of technical infrastructure such as sewerage and waste-water treatment. The costs of ensuring the quality of the environment and of public spaces, which are, in many cases, beyond the economic possibilities of municipalities, are also increasing significantly. The article also includes specifications of selected smart solutions and procedures that can help preserve the quality of the environment.

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“…Most vehicles will be equipped with wireless transceivers to exchange information wirelessly by 2020. With this ability, the next generation of connected cars can collaborate to acquire surrounding data information.Therefore, it can adapt in a smart environment (SE) [5,6]. Moreover, developing applications for autonomous vehicles have emerged in recent years.…”

Section: Introductionmentioning

confidence: 99%

Cost-Effective Resource Sharing in an Internet of Vehicles-Employed Mobile Edge Computing Environment

Nguyen

Nguyễn

et al. 2018

Symmetry

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By bringing the computation and storage resources close proximity to the mobile network edge, mobile edge computing (MEC) is a key enabling technology for satisfying the Internet of Vehicles (IoV) infotainment applications’ requirements, e.g., video streaming service (VSA). However, the explosive growth of mobile video traffic brings challenges for video streaming providers (VSPs). One known issue is that a huge traffic burden on the vehicular network leads to increasing VSP costs for providing VSA to mobile users (i.e., autonomous vehicles). To address this issue, an efficient resource sharing scheme between underutilized vehicular resources is a promising solution to reduce the cost of serving VSA in the vehicular network. Therefore, we propose a new VSA model based on the lower cost of obtaining data from vehicles and then minimize the VSP’s cost. By using existing data resources from nearby vehicles, our proposal can reduce the cost of providing video service to mobile users. Specifically, we formulate our problem as mixed integer nonlinear programming (MINP) in order to calculate the total payment of the VSP. In addition, we introduce an incentive mechanism to encourage users to rent its resources. Our solution represents a strategy to optimize the VSP serving cost under the quality of service (QoS) requirements. Simulation results demonstrate that our proposed mechanism is possible to achieve up to 21% and 11% cost-savings in terms of the request arrival rate and vehicle speed, in comparison with other existing schemes, respectively.

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Metamodeling of Smart Environments: from design to implementation

Cited by 52 publications

References 12 publications

Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams

Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams

Impact of Suburbanisation on Sustainable Development of Settlements in Suburban Spaces: Smart and New Solutions

Cost-Effective Resource Sharing in an Internet of Vehicles-Employed Mobile Edge Computing Environment

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