Title |
Water Quality Monitoring System: A Smart City Application With IoT Innovation |
ID_Doc |
37972 |
Authors |
Shanmugam, K; Rana, ME; Xuen, DTZ; Aruljodey, S |
Title |
Water Quality Monitoring System: A Smart City Application With IoT Innovation |
Year |
2021 |
Published |
|
DOI |
10.1109/DESE54285.2021.9719480 |
Abstract |
In the current era of globalisation, water pollution has gradually worsened, and it has started to reach alarming heights. Water pollution has a severe impact on human health and the environment. The rationale of this research is to propose an affordable water quality monitoring system to save and conserve the quality of consumed water. Water conservation is among the most critical segments of a future smart city project that many countries strive to achieve. This research investigates Malaysia's current water pollution situation and reviews the existing policies that the government has already implemented to curb this issue. Furthermore, it provides an in-depth analysis of similar systems that other fellow researchers have presented. In this paper, the authors have proposed an enhanced water quality monitoring system by implementing an IoT based technological infrastructure suitable for a smart city project. The proposed approach provides a low-cost and power-saving alternative to commercially available systems. |
Author Keywords |
Water Quality Monitoring; Water Pollution; Water Conservation; Water Quality Monitoring using Smart Devices; Real-time Water Quality Monitoring |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
EID |
WOS:000803995400101 |
WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Cybernetics; Computer Science, Interdisciplinary Applications; Engineering, Multidisciplinary |
Research Area |
Computer Science; Engineering |
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