IoT-Enabled Water Distribution Systems—A Comparative Technological Review
Author:
Affiliation:
1. Center for Wireless Networks & Applications (WNA), Amrita Vishwa Vidyapeetham, Amritapuri, India
2. Insight Centre for Data Analytics, School of Computer Science and Information Technology, University College Cork, Cork, Ireland
Funder
Project “Fast Forward to SDG6: Acceptable and Affordable Water in Secondary Indian Cities (4WARD),”
Department of Science and Technology (DST), Water Technology Initiative-National Consortia on Urban Water System
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09895399.pdf?arnumber=9895399
Reference263 articles.
1. Embedded processor based automated assessment of quality of the water in an IoT background
2. Water utility decision support through the semantic web of things
3. An IoT based smart irrigation management system using Machine learning and open source technologies
4. An Application Development Framework for Internet-of-Things Service Orchestration
5. Real-time water quality monitoring using Internet of Things in SCADA
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