Trust management in social Internet of Things across domains

Bangui, Hind; Bühnová, Barbora; Kušniráková, Daša; Halasz, David

doi:10.1016/j.iot.2023.100833

Cited by 9 publications

(2 citation statements)

References 113 publications

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“…The dashboard effectively communicates the present state of the pump and waterwheel, offering a solid foundation for the study's findings and facilitating a comprehensive discussion. The use of visual representations, such as diagrams, graphs, and instruments, enhances the reader's understanding and strengthens the overall impact of the study [14], [15]. The discussion comprises comprehensive sub-sections that meticulously analyze the complexities of the findings, emphasizing their practical implications and addressing any limitations.…”

Section: Resultsmentioning

confidence: 99%

“…The use of modern, automated monitoring is anticipated to bring about a significant transformation in conventional shrimp farming practices and support the sustainable expansion of the sector in Rembang [11]- [13]. Pond water quality will be monitored and managed using intelligent sensors that can analyze pond water conditions in real-time and transmit data to the internet [14], [15]. The objective of this project was to enhance the productivity of vannamei shrimp cultivation for shrimp farmers in Rembang city without necessitating their personal presence at the site [2], [16].…”

mentioning

confidence: 99%

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Mamdani fuzzy-based water quality monitoring and control system in vannamei shrimp farming using the internet of things

Qomaruddin,

Riansyah,

Hermawan

2024

IJAAS

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Indonesia's vast ocean expanse, spanning two-thirds of its land, is a treasure trove of marine resources, with shrimp being a vital commodity in the country's fisheries exports. To ensure successful shrimp production, maintaining optimal water conditions is paramount, necessitating extensive, large-scale monitoring. Enter our innovative prototype an internet of things (IoT) system designed for comprehensive pond water quality oversight. This smart system monitors crucial parameters like pH, turbidity, temperature, and dissolved solids in vannamei shrimp cultivation. The Mamdani fuzzy approach dynamically adjusts operations in response to changing weather conditions, fine-tuning both pump and windmill speeds. This adaptive methodology significantly improves water quality control, enhancing overall efficiency. Our IoT infrastructure ensures real-time monitoring and control, creating an ideal environment for shrimp cultivation. The Mamdani fuzzy technique’s effectiveness shines in adapting to dynamic environmental shifts. Noteworthy findings underscore the system's ability to automate and elevate pond water quality, promising increased shrimp production. This technology has the potential to revolutionize traditional shrimp farming, particularly in regions like Rembang, by promoting sustainable aquaculture practices.

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Section: Resultsmentioning

confidence: 99%