Application of Internet of Things and big data for sustainability in water

Application of Internet of Things and big data for sustainability in water

For access to this article, please select a purchase option:

Buy chapter PDF
(plus tax if applicable)
Buy Knowledge Pack
10 chapters for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
Big Data-Enabled Internet of Things — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

The increasing world population and rapid industrial development is driving the need for sustainable management solutions and preservation of the natural resources and the ecosystem. The Internet of Things (IoT) and big data (BD) analytics are expected to play key role toward sustainability in areas such as water, agriculture, energy, transportation and smart city. In this chapter, the focus is sustainability in water. To address the issues of sustainability of clean accessible water for human use and other living things, a water ecosystem is presented. The water ecosystem consists of five major elements which are water source, treatment, reservoir, consumption and wastage. There are several issues faced in sustainable water supply such as decreasing fresh water resources, loss of revenue due to water loss, complexity in managing the increasing demands. Existing water-management models are not efficient in addressing these issues. In addition, due to seasonal variations, changes in environmental laws, varying plant-operating conditions and other factors, there is a need for effective and efficient monitoring. The application of IoT and BD analytics technology is promising and can provide sustainable management solution in water. The practical deployment of IoT and BD analytics consists of four major components which are IoT devices, communication technology, internet and BD. The emerging low power wide area (LPWA) communication technology is expected to enhance massive connectivity required for water monitoring, data acquisition and promote sustainability in water. Hence, in this chapter, the features of the water ecosystem, the system architecture of IoT and BD and the application in water sustainability, challenges such as cyber security, policy and regulations, accuracy of the data and technology interoperability are discussed.

Chapter Contents:

  • 15.1 Introduction
  • 15.2 Sustainability in water
  • 15.2.1 Source
  • 15.2.2 Treatment
  • 15.2.3 Reservoirs
  • 15.2.4 Consumption
  • 15.2.5 Wastewater
  • 15.3 IoT and BD system architecture
  • 15.3.1 IoT device
  • 15.3.2 Communication technology
  • 15.3.3 Internet
  • 15.3.4 Big data processing
  • 15.4 Application of IoT and BD in water sustainability
  • 15.4.1 Smart metering
  • 15.4.2 Leakage detection
  • 15.4.3 Water pollution
  • 15.4.4 Prediction and forecasting
  • 15.5 Challenges
  • 15.5.1 Cyber security
  • 15.5.2 Data accuracy
  • 15.5.3 Policy and regulations
  • 15.5.4 Technology interoperability
  • 15.6 Conclusion
  • References

Inspec keywords: wide area networks; water conservation; water supply; condition monitoring; Internet of Things; data acquisition; water treatment; ecology; Big Data; water resources; open systems; sustainable development; environmental science computing

Other keywords: big data; LPWA communication technology; varying plant-operating conditions; water-management models; living things; BD analytics; IoT; low power wide area communication technology; sustainable management solution; water ecosystem; clean accessible water; water loss; cyber security; sustainable water supply; fresh water resources; rapid industrial development; natural resources preservation; environmental laws; transportation; water monitoring; data acquisition; water source; internet of things; smart city

Subjects: Production engineering computing; Other computer networks; Computer networks and techniques; Systems theory applications in natural resources and ecology; Environmental issues; Environmental science computing; Inspection and quality control; Data acquisition equipment and techniques; Data handling techniques; Industrial applications of IT; Maintenance and reliability

Preview this chapter:
Zoom in

Application of Internet of Things and big data for sustainability in water, Page 1 of 2

| /docserver/preview/fulltext/books/pc/pbpc025e/PBPC025E_ch15-1.gif /docserver/preview/fulltext/books/pc/pbpc025e/PBPC025E_ch15-2.gif

Related content

This is a required field
Please enter a valid email address