Smart City Technologies and Architectures - A Literature Review

Kyriazopoulou, Christiana

doi:10.5220/0005407000050016

Cited by 31 publications

(20 citation statements)

References 29 publications

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“…The city has an approximate area of 100 km 2 and has a population of almost 1.62 million people. The city of Barcelona city has ten main districts which covers a total of seventy-three sections [27].…”

Section: B Experimental Resultsmentioning

confidence: 99%

“…The goals of the smart cities are improving the citizens' quality of life by providing more advanced, sophisticated, but also efficient services, while fueling a sustainable economic growth. There are multiple research topics related to smart cities technology, starting from the sensors technologies, which generate a relevant part of the city information, the sensors devices organization, including technologies such as the Internet of Things (IoT), the Internet of Everything (IoE), other Service Oriented Architectures (SOA), or even a combination of these [2], using different communications technologies, such as wired Ethernet, or wireless WiFi, 3G/4G networks, or other ad-hoc low-power wide-area networks (LPWAN), and providing these data and resources available to create new and sophisticated services that ease life in the city according to the city's social, economic, and environmental models.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Architecture for Efficient Fog to Cloud Data Management in Smart Cities

Sinaeepourfard

García

Masip-Bruin

et al. 2017

2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)

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Abstract-Smart cities are the current technological solutions to handle the challenges and complexity of the growing urban density. Traditionally, smart city resources are managed with a cloud based solution, where sensors and devices are connected to provide a centralized and rich set of open data. The advantages of cloud based frameworks are their ubiquity, as well as an (almost) unlimited resources capacity. However, accessing data from the cloud implies large network traffic, high latencies usually not appropriate for realtime or critical solutions, as well as higher security risks. Alternatively, fog computing emerges as a promising technology to absorb these inconveniences. It proposes the use of devices at the edge to provide closer computing facilities and, therefore, reducing network traffic, reducing latencies drastically while improving security. In this work, we present a new framework for data management in the context of a smart city through a global fog to cloud resources management architecture. We show this model has the advantages of both, fog and cloud technologies, as it allows reduced latencies for critical applications while being able to use the high computing capabilities of cloud technology. As a first experiment, we estimate the network traffic in this model during data collection and compare it with a traditional real system.

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Section: B Experimental Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Architecture for Efficient Fog to Cloud Data Management in Smart Cities

Sinaeepourfard

García

Masip-Bruin

et al. 2017

2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)

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“…There are multiple research directions and technologies related to resources management in the context of Smart Cities, such as Internet of Things (IoT), Internet of Everything (IoE), Service Oriented Architecture (SOA), and so on, which are summarized in [4]. Although most architectures have been proposed for resources management and organization, only few efforts are oriented explicitly on data management.…”

Section: IImentioning

confidence: 99%

A data lifeCycle model for smart cities

Sinaeepourfard

García

Masip-Bruin

et al. 2016

2016 International Conference on Information and Communication Technology Convergence (ICTC)

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Abstract-Smart Cities are the most challenging and promising technological solutions for absorbing the increasing pressure of population growth, while simultaneously enforcing a sustainable economic progress as well as a higher quality of life. Several technologies are involved in a potential Smart City deployment, although data are the fuel to achieve the demanded and mandatory smartness. Data can be obtained from multiple sources, in large quantities, and with a variety of formats, therefore, an appropriate management is critical for their effective usage. Data life cycle models constitute an effective trend towards developing an integral and efficient data management framework, from data creation to data consumption and removal. In this paper we present the Smart City Comprehensive Data LifeCycle (SCC-DLC) model, a data management architecture generated from a comprehensive scenario agnostic model, tailored for the particular scenario of Smart Cities. We define the management of each data life phase, and describe its implementation on a Smart City with Fog-toCloud (F2C) resources management, an architecture that combines the advantages of both cloud and fog strategies.

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“…To develop this further, we consider the campus to be a 'smart environment'. Kyriazopoulou [16] reviews the notion of a smart city and presents alternative architectural approaches to realizing a smart environment. Our solution maps onto the IoT category, in her review.…”

Section: E Robotic Support Infrastructure (To Do)mentioning

confidence: 99%

Supersensors: Raspberry Pi Devices for Smart Campus Infrastructure

Hentschel

Jacob

Singer

et al. 2016

2016 IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud)

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Abstract-We describe an approach for developing a campuswide sensor network using commodity single board computers. We sketch various use cases for environmental sensor data, for different university stakeholders. Our key premise is that supersensors-sensors with significant compute capabilityenable more flexible data collection, processing and reaction. In this paper, we describe the initial prototype deployment of our supersensor system in a single department at the University of Glasgow.

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Smart City Technologies and Architectures - A Literature Review

Cited by 31 publications

References 29 publications

A Novel Architecture for Efficient Fog to Cloud Data Management in Smart Cities

A Novel Architecture for Efficient Fog to Cloud Data Management in Smart Cities

A data lifeCycle model for smart cities

Supersensors: Raspberry Pi Devices for Smart Campus Infrastructure

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