2021 International Conference on Electronic Engineering (ICEEM)
Smart Water Quality Analysis using IoT and Big Data Analytics: A Review
Oral Presentation , Page 194-198 (5) XML
Volume Title: 2nd IEEE International Conference on Electronic Eng., Faculty of Electronic Eng., Menouf, Egypt, 3-4 July. 2021
Authors
1Assistant Professor @ CSE Dept.
2Architect
3Assistant Professor
Abstract
In recent times, water quality monitoring, observing, and testing have become a significant research study with the advancement in the Internet of Things (IoT) and Big Data analytics. The relationship between water demand and supply is very crucial for every country and is likewise a complex challenge to satisfy this requirement around the world. Water is compulsory for human survival being on the earth. Therefore, for survival, the preservation and taking care of the existing water resource are also equally substantial. Moreover, for a healthier society, access to clean and safe water resources is also imperative. To recognize the water quality effects and provide an automated water quality mentoring and a testing system can support in guaranteeing the safety of the water. This paper presents a study on water quality analysis using IoT and Big Data analytics. This can help in developing an agile environment that can deal with the massive flow of water big data generated from smart sensors in a smart city.
Keywords