IoT for Wastewater Monitoring in a Smart Environment

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Authors: Lekhavani Ramesh, Suguna Krishnamoorthy, Ramalakshmi Subbarayalu, Vinayagam Mohanavel, Vishnu Raja Vijayakumar, Sathish Kannan, Pavithiradevi Thangarasu, Mourade Azrour
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Abstract

The use of Internet of Things (IoT) techniques for wastewater management is expanding the possibilities for environmental monitoring by providing timely, data-driven information about water quality and operational performance. This chapter discusses the implementation of IoT-based solutions for continuous monitoring of wastewater characteristics, including pH, turbidity, chemical oxygen demand (COD), biological oxygen demand (BOD), and heavy metal content. This is most efficiently achieved by using sensors, wiring them to remote data transmission, and then integrating them using edge-cloud computing frameworks. Wastewater management using IoT is distinctive in its capacity to improve responsiveness, precision, and efficiency. A review of existing IoT architecture is provided by focusing on scalability, energy performance, failover/fault tolerance, and interoperability with traditional wastewater management systems. Particular focus will be placed on LPWAN, AI-enabled analytics, and cybersecurity challenges associated with decentralized water quality monitoring. As case studies reveal, Smart Sensors are deployed into various Municipal sewerage systems and industrial effluent treatment plants, providing alerts in real time to mitigate environmental risks and compliance issues. Therefore, the chapter aims to define an intelligent wastewater infrastructure framework that is ready for the future, embracing the use of IoTs, AI, and green technology, within the context of the sustainable development-smart city ecosystem.

Fields of Study & Subjects

Water Quality Monitoring Technologies Water Quality Monitoring and Analysis Innovations in Aquaponics and Hydroponics Systems

Publication details

Pages
34–50
Publication date
7 January 2026
Language
EN
Document type
Book chapter