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Distributed Architectures for Intensive Urban Computing: A Case Study on Smart Lighting for Sustainable Cities

Abstract

New information and communication technologies have contributed to the development of the smart city concept. On a physical level, this paradigm is characterised by deploying a substantial number of different devices that can sense their surroundings and generate a large amount of data. The most typical case is image and video acquisition sensors. Recently, these types of sensors are found in abundance in urban spaces and are responsible for producing a large volume of multimedia data. The advanced computer vision methods for this type of multimedia information means that many aspects can be dynamically monitored, which can help implement value-added applications in the city. However, obtaining more elaborate semantic information from these data poses significant challenges related to a large amount of data generated and the processing capabilities required. This work aims to address these issues by using a combination of cloud computing technologies and mobile computing techniques to design a three-layer distributed architecture for intensive urban computing. The approach consists of distributing the processing tasks among a city’s multimedia acquisition devices, a middle computing layer, known as a cloudlet, and a cloud-computing infrastructure. As a result, each part of the architecture can now focus on a small number of tasks for which they are especially designed, and data transmission communication needs are significantly reduced. To this end, the cloud server can hold and centralise the multimedia analysis of processed results from the lower layers. Finally, a case study on smart lighting is described to illustrate the benefits of using the proposed model in smart city environments.

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DOI:
Digital Object Identifier (open in new tab) 10.1109/ACCESS.2019.2914613
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Copyright (2019 IEEE)

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Category:
Articles
Type:
artykuły w czasopismach
Published in:
IEEE Access no. 7, pages 58449 - 58465,
ISSN: 2169-3536
Language:
English
Publication year:
2019
Bibliographic description:
Mora H., Peral J., Ferrandez A., Gil D., Szymański J.: Distributed Architectures for Intensive Urban Computing: A Case Study on Smart Lighting for Sustainable Cities// IEEE Access -Vol. 7, (2019), s.58449-58465
DOI:
Digital Object Identifier (open in new tab) 10.1109/access.2019.2914613
Verified by:
Gdańsk University of Technology

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