Assessment of Water Quality Parameters in Real-Time Environment

Khatri, Punit; Gupta, Karunesh Kumar; Gupta, Raj K.

doi:10.1007/s42979-020-00368-9

Cited by 11 publications

(6 citation statements)

References 22 publications

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“…(E) Usage of the data collected by the Raspberry Pi and its sensors to monitor the quality of the water and identify any potential issues or concerns. This can include alerting operators or other stakeholders if certain thresholds are exceeded, or automatically taking corrective action if necessary [ 28 , 29 , 30 , 31 , 32 ].…”

Section: Common Solutionsmentioning

confidence: 99%

IoT in Water Quality Monitoring—Are We Really Here?

Miller¹,

Kisiel

Cembrowska-Lech

et al. 2023

Sensors

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The Internet of Things (IoT) has become widespread. Mainly used in industry, it already penetrates into every sphere of private life. It is often associated with complex sensors and very complicated technology. IoT in life sciences has gained a lot of importance because it allows one to minimize the costs associated with field research, expeditions, and the transport of the many sensors necessary for physical and chemical measurements. In the literature, we can find many sensational ideas regarding the use of remote collection of environmental research. However, can we fully say that IoT is well established in the natural sciences?

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Section: Common Solutionsmentioning

confidence: 99%

IoT in Water Quality Monitoring—Are We Really Here?

Miller¹,

Kisiel

Cembrowska-Lech

et al. 2023

Sensors

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“…Water quality monitoring research involves the use of traditional laboratory-based technology as well as modern distributed Internet of Things (IoT) technology. Among these technologies, the use of IoT technology is more popular because of its advantages over laboratory-based technology in terms of cost, real-time water quality monitoring, and prompt water data collection [14][15][16][17] Despite the promise of IoT systems in water quality monitoring applications, they are still at an infant stage and are resource-constrained in terms of power, bandwidth, and computational resources [18]. Because of these constraints, the IoT systems in water quality monitoring applications are currently limited in performance in the context of energy efficiency, throughput, and network lifetime [19].…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation Optimization in IoT-Enabled Water Quality Monitoring Systems

Olatinwo,

Joubert

2023

Sensors

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Water quality monitoring systems that are enabled by the Internet of Things (IoT) and used in water applications to collect and transmit water data to data processing centers are often resource-constrained in terms of power, bandwidth, and computation resources. These limitations typically impact their performance in practice and often result in forwarding their data to remote stations where the collected water data are processed to predict the status of water quality, because of their limited computation resources. This often negates the goal of effectively monitoring the changes in water quality in a real-time manner. Consequently, this study proposes a new resource allocation method to optimize the available power and time resources as well as dynamically allocate hybrid access points (HAPs) to water quality sensors to improve the energy efficiency and data throughput of the system. The proposed system is also integrated with edge computing to enable data processing at the water site to guarantee real-time monitoring of any changes in water quality and ensure timely access to clean water by the public. The proposed method is compared with a related method to validate the system performance. The proposed system outperforms the existing system and performs well in different simulation experiments. The proposed method improved the baseline method by approximately 12.65% and 16.49% for two different configurations, demonstrating its effectiveness in improving the energy efficiency of a water quality monitoring system.

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“…To mitigate the effect of the water crisis, many initiatives are taking place worldwide to take care of our freshwater resources [37][38][39][40][41][42][43][44][45][46][47][48][49]. For instance, the water monitoring day was established in 2003 by the America Clean Water Foundation [50,51], aiming to create public awareness of water contamination.…”

Section: Introductionmentioning

confidence: 99%

IoT-Based Solutions to Monitor Water Level, Leakage, and Motor Control for Smart Water Tanks

Jan

Min‐Allah

Saeed

et al. 2022

Water

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Today, a large portion of the human population around the globe has no access to freshwater for drinking, cooking, and other domestic applications. Water resources in numerous countries are becoming scarce due to over urbanization, rapid industrial growth, and current global warming. Water is often stored in the aboveground or underground tanks. In developing countries, these tanks are maintained manually, and in some cases, water is wasted due to human negligence. In addition, water could also leak out from tanks and supply pipes due to the decayed infrastructure. To address these issues, researchers worldwide turned to the Internet-of-Things (IoT) technology to efficiently monitor water levels, detect leakage, and auto refill tanks whenever needed. Notably, this technology can also supply real-time feedback to end-users and other experts through a webpage or a smartphone. Literature reveals a plethora of review articles on smart water monitoring, including water quality, supply pipes leakage, and water waste recycling. However, none of the reviews focus on the IoT-based solution to monitor water level, detect water leakage, and auto control water pumps, especially at the induvial level that form a vast proportion of water consumers worldwide. To fill this gap in the literature, this study presents a review of IoT-controlled water storage tanks (IoT-WST). Some important contributions of our work include surveying contemporary work on IoT-WST, elaborating current techniques and technologies in IoT-WST, targeting proper hardware, and selecting a secure IoT cloud server.

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Assessment of Water Quality Parameters in Real-Time Environment

Cited by 11 publications

References 22 publications

IoT in Water Quality Monitoring—Are We Really Here?

IoT in Water Quality Monitoring—Are We Really Here?

Resource Allocation Optimization in IoT-Enabled Water Quality Monitoring Systems

IoT-Based Solutions to Monitor Water Level, Leakage, and Motor Control for Smart Water Tanks

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