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Blockchain and Internet of Things-Based Technologies for Intelligent Water Management System

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Artificial Intelligence in IoT

Abstract

Water is a critical and indispensable resource for the sustainability of life, economic development, and the environment. According to the United Nations (UN) estimates, 70% of the world’s population will live in cities by the year 2025, and the current centralized piped infrastructure relied upon by water utilities will be inadequate. Leveraging on the advancement in emerging blockchain, Internet of Things (IoT), and sensor technologies offers a means for efficient water management. In this era of Fourth Industrial Revolution (4IR), human creativity will be a critical requirement in this regard. This chapter explores the impact of blockchain and IoT on water management and examines the feasibility of its adoption in multiple case scenarios and instances such as stormwater management, water quality monitoring and reporting directly to consumers and other relevant stakeholders, and smart payment and contract, in order to sustainably deal with the challenges of global water crisis induced by climate change and rapid population growth. This chapter makes special and unique emphasis on the relevance of the research through an African perspective and view. Furthermore, the technical advantages, socioeconomic gains, and technological benefits of synergizing blockchain and IoT such as enhanced security and transparency, reduced operational cost, overall efficiency, and other merits are expatiated.

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Acknowledgments

We would like to thank the University of Johannesburg for the funding and affording the resources to complete this work.

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Authors and Affiliations

  1. Department of Electrical and Electronic Engineering Science and Institute for Intelligent Systems, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa

    Eustace M. Dogo

  2. Computer Engineering Department, Faculty of Engineering and Technology, University of Ilorin, Ilorin, Nigeria

    Abdulazeez Femi Salami

  3. Department of Electrical and Electronic Engineering Science, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa

    Nnamdi I. Nwulu

  4. Department of Construction Management and Quantity Surveying, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa

    Clinton O. Aigbavboa

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  1. Eustace M. Dogo
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Correspondence to Eustace M. Dogo .

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  1. Computer Engineering Department, Antalya Bilim University, Antalya, Turkey

    Fadi Al-Turjman

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Dogo, E.M., Salami, A.F., Nwulu, N.I., Aigbavboa, C.O. (2019). Blockchain and Internet of Things-Based Technologies for Intelligent Water Management System. In: Al-Turjman, F. (eds) Artificial Intelligence in IoT. Transactions on Computational Science and Computational Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-04110-6_7

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