A Global Perspective of Smart Cities: A Survey

Pellicer, Soledad; Santa, Guadalupe; Bleda, Andrés L.; Maestre, Rafael; Jara, Antonio J.; Skármeta, Antonio

doi:10.1109/imis.2013.79

Cited by 175 publications

(79 citation statements)

References 1 publication

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“…The increase of world's population and the shortage of natural resources incline towards the widespread use of information and communication technology (ICT) [41] in everyday life. Efficient changes in urban environments are powered by the trends of Smart Cities under the condition of meeting the needs of the city and its citizens while assisting the management of infrastructure and services [41].…”

Section: Smart City Infrastructurementioning

confidence: 99%

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A Social Environmental Sensor Network Integrated within a Web GIS Platform

Voutos

Mylonas

Spyrou

et al. 2017

JSAN

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Abstract:We live in an era where typical measures towards the mitigation of environmental degradation follow the identification and recording of natural parameters closely associated with it. In addition, current scientific knowledge on the one hand may be applied to minimize the environmental impact of anthropogenic activities, whereas informatics on the other, playing a key role in this ecosystem, do offer new ways of implementing complex scientific processes regarding the collection, aggregation and analysis of data concerning environmental parameters. Furthermore, another related aspect to consider is the fact that almost all relevant data recordings are influenced by their given spatial characteristics. Taking all aforementioned inputs into account, managing such a great amount of complex and remote data requires specific digital structures; these structures are typically deployed over the Web on an attempt to capitalize existing open software platforms and modern developments of hardware technology. In this paper we present an effort to provide a technical solution based on sensing devices that are based on the well-known Arduino platform and operate continuously for gathering and transmitting of environmental state information. Controls, user interface and extensions of the proposed project rely on the Android mobile device platform (both from the software and hardware side). Finally, a crucial novel aspect of our work is the fact that all herein gathered data carry spatial information, which is rather fundamental for the successful correlation between pollutants and their place of origin. The latter is implemented by an interactive Web GIS platform operating oversight in situ and on a timeline basis.

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Section: Smart City Infrastructurementioning

confidence: 99%

“…Efficient changes in urban environments are powered by the trends of Smart Cities under the condition of meeting the needs of the city and its citizens while assisting the management of infrastructure and services [41].…”

Section: Smart City Infrastructurementioning

confidence: 99%

A Social Environmental Sensor Network Integrated within a Web GIS Platform

Voutos

Mylonas

Spyrou

et al. 2017

JSAN

View full text Add to dashboard Cite

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“…In [2] the authors define smart cities as "an urban system that uses information and communication technology (ICT) to make both its infrastructure and its public services more interactive, more accessible and more efficient". A smart city goal is to improve the quality of life of citizens while providing a sustainable environment and reducing the cost of living.…”

Section: Introductionmentioning

confidence: 99%

Performance of video processing at the edge for crowd-monitoring applications

Bailas

Marsden

Zhang

et al. 2018

2018 IEEE 4th World Forum on Internet of Things (WF-IoT)

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Abstract-Video analytics has a key role to play in smart cities and connected community applications such as crowd counting, activity detection, event classification, traffic counting etc. Using a cloud-centric approach where data is funnelled to a central processor presents a number of key problems such as available bandwidth, real-time responsiveness and personal data privacy issues. With the development of edge computing, a new paradigm for smart data management is emerging. Raw video feeds can be pre-processed at the point of capture while integration and deeper analytics is performed in the cloud. In this paper we explore the capacity of video processing at the edge and shown that basic image processing can be achieved in near real-time on lowpowered gateway devices. We have also investigated deep learning model capabilities for crowd counting in this context showing that its performance is highly dependent on the input size and rescaling video frames can optimise processing and performance. Increased edge processing resolves a number of issues in video analytics for crowd monitoring applications.

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“…To realise a sustainable and liveable city, the concept of Smart Cities has been proposed. Key to this vision is that of a Smart Environment, requiring sustainable and efficient management of the environment and its limited natural resources through information and communication technology (ICT) [6]. Although the benefits of street lighting are clear, sustaining its operation has become a concerning issue to local governments, both financially and environmentally.…”

Section: Introductionmentioning

confidence: 99%

A traffic-aware street lighting scheme for Smart Cities using autonomous networked sensors

Lau

Merrett

Weddell

et al. 2015

Computers & Electrical Engineering

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Street lighting is a ubiquitous utility, but sustaining its operation presents a heavy financial and environmental burden.Many schemes have been proposed which selectively dim lights to improve energy efficiency, but little consideration has been given to the usefulness of the resultant street lighting system. This paper proposes a real-time adaptive lighting scheme, which detects the presence of vehicles and pedestrians and dynamically adjusts their brightness to the optimal level. This improves the energy efficiency of street lighting and its usefulness; a streetlight utility model is presented to evaluate this. The proposed scheme is simulated using an environment modelling a road network, its users, and a networked communication system -and considers a real streetlight topology from a residential area. The proposed scheme achieves similar or improved utility to existing schemes, while consuming as little as 1-2% of the energy required by conventional and state-of-the-art techniques.

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A Global Perspective of Smart Cities: A Survey

Cited by 175 publications

References 1 publication

A Social Environmental Sensor Network Integrated within a Web GIS Platform

A Social Environmental Sensor Network Integrated within a Web GIS Platform

Performance of video processing at the edge for crowd-monitoring applications

A traffic-aware street lighting scheme for Smart Cities using autonomous networked sensors

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