A survey on multisource heterogeneous urban sensor access and data management technologies

Urban sensors are an important part of urban infrastructures and are usually heterogeneous. Urban sensors with different uses vary greatly in hardware structure, communication protocols, data formats, interaction modes, sampling frequencies, data accuracy and service quality, thus posing an enormous...

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Autores principales: Fei Yang, Yixin Hua, Xiang Li, Zhenkai Yang, Xinkai Yu, Teng Fei
Formato: article
Lenguaje:EN
Publicado: Elsevier 2022
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Acceso en línea:https://doaj.org/article/f909a2fa6b534358bea3d09cb7d31bc5
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spelling oai:doaj.org-article:f909a2fa6b534358bea3d09cb7d31bc52021-11-14T04:35:31ZA survey on multisource heterogeneous urban sensor access and data management technologies2665-917410.1016/j.measen.2021.100061https://doaj.org/article/f909a2fa6b534358bea3d09cb7d31bc52022-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2665917421000246https://doaj.org/toc/2665-9174Urban sensors are an important part of urban infrastructures and are usually heterogeneous. Urban sensors with different uses vary greatly in hardware structure, communication protocols, data formats, interaction modes, sampling frequencies, data accuracy and service quality, thus posing an enormous challenge to the unified integration and sharing of massive sensor information resources. Consequently, access and data management methods for these multisource heterogeneous urban sensors are extremely important. Additionally, multisource heterogeneous urban sensor access and data management technologies provide strong support for intelligent perception and scientific management at the city scale and can accelerate the construction of smart cities or digital twin cities with virtual reality features. We systematically summarize the related research on these technologies. First, we present a summary of the concepts and applications of urban sensors. Then, the research progress on multisource heterogeneous urban sensor access technologies is analysed in relation to communication protocols, data transmission formats, access standards, access technologies and data transmission technologies. Subsequently, the data management technologies for urban sensors are reviewed from the perspectives of data cleaning, data compression, data storage, data indexing and data querying. In addition, the challenges faced by the technologies above and corresponding feasible solutions are discussed from three aspects, namely, the integration of massive Internet of Things (IoT), computational burden and energy consumption and cybersecurity. Finally, a summary of this paper is given, and possible future development directions are analysed and discussed.Fei YangYixin HuaXiang LiZhenkai YangXinkai YuTeng FeiElsevierarticleSmart cityUrban sensorAccessData managementComputational burdenEnergy consumptionElectric apparatus and materials. Electric circuits. Electric networksTK452-454.4ENMeasurement: Sensors, Vol 19, Iss , Pp 100061- (2022)
institution DOAJ
collection DOAJ
language EN
topic Smart city
Urban sensor
Access
Data management
Computational burden
Energy consumption
Electric apparatus and materials. Electric circuits. Electric networks
TK452-454.4
spellingShingle Smart city
Urban sensor
Access
Data management
Computational burden
Energy consumption
Electric apparatus and materials. Electric circuits. Electric networks
TK452-454.4
Fei Yang
Yixin Hua
Xiang Li
Zhenkai Yang
Xinkai Yu
Teng Fei
A survey on multisource heterogeneous urban sensor access and data management technologies
description Urban sensors are an important part of urban infrastructures and are usually heterogeneous. Urban sensors with different uses vary greatly in hardware structure, communication protocols, data formats, interaction modes, sampling frequencies, data accuracy and service quality, thus posing an enormous challenge to the unified integration and sharing of massive sensor information resources. Consequently, access and data management methods for these multisource heterogeneous urban sensors are extremely important. Additionally, multisource heterogeneous urban sensor access and data management technologies provide strong support for intelligent perception and scientific management at the city scale and can accelerate the construction of smart cities or digital twin cities with virtual reality features. We systematically summarize the related research on these technologies. First, we present a summary of the concepts and applications of urban sensors. Then, the research progress on multisource heterogeneous urban sensor access technologies is analysed in relation to communication protocols, data transmission formats, access standards, access technologies and data transmission technologies. Subsequently, the data management technologies for urban sensors are reviewed from the perspectives of data cleaning, data compression, data storage, data indexing and data querying. In addition, the challenges faced by the technologies above and corresponding feasible solutions are discussed from three aspects, namely, the integration of massive Internet of Things (IoT), computational burden and energy consumption and cybersecurity. Finally, a summary of this paper is given, and possible future development directions are analysed and discussed.
format article
author Fei Yang
Yixin Hua
Xiang Li
Zhenkai Yang
Xinkai Yu
Teng Fei
author_facet Fei Yang
Yixin Hua
Xiang Li
Zhenkai Yang
Xinkai Yu
Teng Fei
author_sort Fei Yang
title A survey on multisource heterogeneous urban sensor access and data management technologies
title_short A survey on multisource heterogeneous urban sensor access and data management technologies
title_full A survey on multisource heterogeneous urban sensor access and data management technologies
title_fullStr A survey on multisource heterogeneous urban sensor access and data management technologies
title_full_unstemmed A survey on multisource heterogeneous urban sensor access and data management technologies
title_sort survey on multisource heterogeneous urban sensor access and data management technologies
publisher Elsevier
publishDate 2022
url https://doaj.org/article/f909a2fa6b534358bea3d09cb7d31bc5
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