Applied fuzzy heuristics for automation of hygienic drinking water supply system using wireless sensor networks

Priya, S. Kavi; Shenbagalakshmi, G.; Revathi, T.

doi:10.1007/s11227-018-2341-6

Cited by 4 publications

(1 citation statement)

References 28 publications

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“…For DW pollution, there is an even greater need for intelligent treatment. The RF algorithm is used to provide early warning of water pollution and, depending on the level of warning, considers the abnormal size and toxicity of the pollutant itself and the detection indicators of the pollutant in the water environment; for the water environment, the division of water bodies into surface water environmental quality standards is considered [14][15]. The system is mainly for emergency monitoring, which is part of DW pollution control, so the system can be used as part of emergency decision-making for DW pollution incidents.…”

Section: Intelligent Water Pollution Early Warning System Based On Rf...mentioning

confidence: 99%

Drinking Water Pollution Prevention and Control Engineering Model Based on Random Forest Algorithm and Electronic Information Intelligence

2022

WPPCP

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With the development of social and economic development, modern industry has made a huge contribution, but the pollution of drinking water (DW) sources has also developed to a more serious situation. The shortage of DW sources has intensified due to the large amount of industrial waste water discharged directly into the water, resulting in the pollution of DW sources. In order to prevent DW pollution, this paper uses a random forest (RF) algorithm and electronic information intelligence technology to build a water pollution early warning system, the system through the predictive power of the RF cannot meet the DW standards for intelligent warning water. This paper analyzes the current situation of DW pollution in Q city and finds that Q city has little supervision of polluted water sources in agriculture and water supply plants, so it proposes measures to prevent DW pollution in the hope that the citizens of Q city can use clean water resources.

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Section: Intelligent Water Pollution Early Warning System Based On Rf...mentioning

confidence: 99%

Drinking Water Pollution Prevention and Control Engineering Model Based on Random Forest Algorithm and Electronic Information Intelligence

2022

WPPCP

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On-line water quality inspection system: the role of the wireless sensory network

Okpara

Sehularo

Wojuola

2022

Environ. Res. Commun.

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Freshwater, in general, is one of the most basic components of a healthy ecosystem and an asset to humanity. It is currently threatened by the massive generation of industrial and domestic waste following the expansion of global industrialization and population boom. The inflow of untreated industrial and domestic wastewater effluents, agricultural runoff, and sanitary landfill water into rivers and seas often leads to contamination of freshwater bodies and the limitation of clean water in circulation. However, there is increasing dependence on freshwater sources for various human activities. Hence, the need for continuous assessment of the quality of available environmental water has become a crucial research concern, as the conventional techniques often used are not sufficient to meet the expanding demand for real-time, rapid, low-cost, reliable, and sensitive water quality monitoring. Hence, this mini-review briefly explores alternative wireless sensor network automated tools designed to ensure safe, real-time, rapid, low-cost, reliable, and sensitive assessment of environmental water.

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Energy Balance Multihop Clustering Routing Protocol for Large-Scale Water Quality Monitoring

Gong

Cao

Han

et al. 2022

Wireless Communications and Mobile Computing

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Due to the influence of the environment on the water quality wireless sensor network, it is difficult to replace the node energy at any time, so it must make the most of the little energy available. This work provides a technique that combines cluster head selection, cluster structure creation, and data transmission into one optimal scheme. Firstly, we optimize the cluster head election probability threshold formula on the basis of LEACH and introduce overlap ratio in the competitive mechanism, to avoid excessive overlap between cluster heads. Subsequently, to alleviate the “hot spot” problem caused by multihop, the competitive mechanism of I-LEACH is optimized, which is based on the nonuniform competitive mechanism in the EEUC algorithm when electing the cluster head. Meanwhile, in the structural planning between cluster heads, the optimal path is searched based on the parallelism of genetic algorithm (variable path coding strategy); the combination of I-LEACH and EEUC-IGA, named Energy Balance Multihop Clustering Routing Protocol (BEBMCR), can avoid the emergence of “hot paths” and reduce running time. The simulation results show that BEBMCR still has a longer stable period and higher energy utilization rate under large-scale networks, and node energy consumption is more balanced.

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Applied fuzzy heuristics for automation of hygienic drinking water supply system using wireless sensor networks

Cited by 4 publications

References 28 publications

Drinking Water Pollution Prevention and Control Engineering Model Based on Random Forest Algorithm and Electronic Information Intelligence

Drinking Water Pollution Prevention and Control Engineering Model Based on Random Forest Algorithm and Electronic Information Intelligence

On-line water quality inspection system: the role of the wireless sensory network

Energy Balance Multihop Clustering Routing Protocol for Large-Scale Water Quality Monitoring

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