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Open Access

A Survey on Algorithms for Intelligent Computing and Smart City Applications

College of Information Science and Engineering, Hunan Normal University, Changsha 410012, China
Agency for Science Technology and Research, Singapore 999002, Singapore
Department of Computer Science, Georgia State University, Atlanta 30302, GA, USA
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Abstract

With the rapid development of human society, the urbanization of the world’s population is also progressing rapidly. Urbanization has brought many challenges and problems to the development of cities. For example, the urban population is under excessive pressure, various natural resources and energy are increasingly scarce, and environmental pollution is increasing, etc. However, the original urban model has to be changed to enable people to live in greener and more sustainable cities, thus providing them with a more convenient and comfortable living environment. The new urban framework, the smart city, provides excellent opportunities to meet these challenges, while solving urban problems at the same time. At this stage, many countries are actively responding to calls for smart city development plans. This paper investigates the current stage of the smart city. First, it introduces the background of smart city development and gives a brief definition of the concept of the smart city. Second, it describes the framework of a smart city in accordance with the given definition. Finally, various intelligent algorithms to make cities smarter, along with specific examples, are discussed and analyzed.

Keywords

cyber physical systemsInternet of Things (IoT)intelligent computing algorithmQuality of Service (QoS)smart city

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Big Data Mining and Analytics
Volume 4 Issue 3,
September 2021
Pages 155-172
DOI: 10.26599/BDMA.2020.9020029
Cite this article:
Tong Z, Ye F, Yan M, et al. A Survey on Algorithms for Intelligent Computing and Smart City Applications. Big Data Mining and Analytics, 2021, 4(3): 155-172. https://doi.org/10.26599/BDMA.2020.9020029

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Received: 21 September 2020
Revised: 27 October 2020
Accepted: 08 December 2020
Published: 12 May 2021
© The author(s) 2021

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
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