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Deep learning application in smart cities: recent development, taxonomy, challenges and research prospects

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Abstract

The purpose of smart city is to enhance the optimal utilization of scarce resources and improve the resident’s quality of live. The smart cities employed Internet of Things (IoT) to create a sustainable urban life. The IoT devices such as sensors, actuators, and smartphones in the smart cities generate data. The data generated from the smart cities are subjected to analytics to gain insight and discover new knowledge for improving the efficiency and effectiveness of the smart cities. Recently, the application of deep learning in smart cities has gained a tremendous attention from the research community. However, despite raise in popularity and achievements made by deep learning in solving problems in smart cities, no survey has been dedicated mainly on the application of deep learning in smart cities to show recent progress and direction for future development. To bridge this gap, this paper proposes to conduct a dedicated survey on the applications of deep learning in smart cities. In this paper, recent progress, new taxonomies, challenges and opportunities for future research opportunities on the application of deep learning in smart cities have been unveiled. The paper can provide opportunities for experts in the research community to propose a novel approach for developing the research area. On the other hand, new researchers interested in the research area can use the paper as an entry point.

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Authors and Affiliations

  1. Department of Mathematics, Gombe State University, Gombe, Nigeria

    Amina N. Muhammad

  2. Department of Computer Science, King Khalid University, Abha, Kingdom of Saudi Arabia

    Ali M. Aseere & Habib Shah

  3. Future Technology Research Center, National Yunlin University of Science and Technology, Douliu, Taiwan

    Haruna Chiroma & Ibrahim Abaker Targio Hashem

  4. Department of Mathematical Sciences, Abubakat Tafawa Balewa University, Bauchi, Nigeria

    Abdulsalam Y. Gital

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  1. Amina N. Muhammad
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  2. Ali M. Aseere
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  3. Haruna Chiroma
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  4. Habib Shah
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  5. Abdulsalam Y. Gital
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  6. Ibrahim Abaker Targio Hashem
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Correspondence to Haruna Chiroma.

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Muhammad, A.N., Aseere, A.M., Chiroma, H. et al. Deep learning application in smart cities: recent development, taxonomy, challenges and research prospects. Neural Comput & Applic 33, 2973–3009 (2021). https://doi.org/10.1007/s00521-020-05151-8

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