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Internet of Things–Based Smart City Environments Using Big Data Analytics: A Survey

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Book cover Recent Trends and Advances in Wireless and IoT-enabled Networks

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

The intense growth and acceptance of the Internet of Things (IoT) is reflected in the trend of smart cities. Smart cities are being implemented to improve standards of living and provide higher-quality services to residents. These services may include (but are not limited to) parking, water, health, transportation, environment, and power. The varied implementations of smart cities and the IoT are challenged by the processing of gigantic data and real-time decision management. In this chapter, we explore the use of big data analytics in IoT-based smart city development and design. This chapter provides a conceptual framework for the use of big data analytics in IoT-based smart city environments.

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Author information

Authors and Affiliations

  1. National University of Sciences and Technology, Islamabad, Pakistan

    Muhammad Babar & Fahim Arif

  2. Iqra University, Islamabad, Pakistan

    Muhammad Irfan

Authors
  1. Muhammad Babar
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  2. Fahim Arif
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  3. Muhammad Irfan
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Corresponding author

Correspondence to Muhammad Babar .

Editor information

Editors and Affiliations

  1. Abdul Wali Khan University Mardan, Mardan, Pakistan

    Mian Ahmad Jan

  2. Abdul Wali Khan University Mardan, Mardan, Pakistan

    Fazlullah Khan

  3. Department of Computer Science and Software Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu Province, China

    Muhammad Alam

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Babar, M., Arif, F., Irfan, M. (2019). Internet of Things–Based Smart City Environments Using Big Data Analytics: A Survey. In: Jan, M., Khan, F., Alam, M. (eds) Recent Trends and Advances in Wireless and IoT-enabled Networks. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-99966-1_12

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  • DOI: https://doi.org/10.1007/978-3-319-99966-1_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99965-4

  • Online ISBN: 978-3-319-99966-1

  • eBook Packages: EngineeringEngineering (R0)

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