A Minimalist Model of IoT based Sensor System for Sewage Treatment Plant Monitoring

Rezwan, Sifat; Ishtiak, Taoseef; Rahman, Rummana; Rahman, Hafiz Abdur; Akter, Manjurul; Ratul, Hasibul Alam; Hosain, Md. Shazzad; Jakariya, Md.

doi:10.1109/iemcon.2019.8936182

Cited by 9 publications

(5 citation statements)

References 10 publications

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“…Probes from Eutech Instruments (CON 450) and Horiba are used as references by Weerasinghe et al [86] and Demetillo et al [15], respectively. In turn, other authors present the use of laboratory equipment or other sensors already installed in the test areas as reference sensors [51,57,65,[87][88][89][90].…”

Section: Were the Results Obtained Through Low-cost Sensors Compared ...mentioning

confidence: 99%

Low-Cost Water Quality Sensors for IoT: A Systematic Review

Camargo

Spanhol

Slongo

et al. 2023

Sensors

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In many countries, water quality monitoring is limited due to the high cost of logistics and professional equipment such as multiparametric probes. However, low-cost sensors integrated with the Internet of Things can enable real-time environmental monitoring networks, providing valuable water quality information to the public. To facilitate the widespread adoption of these sensors, it is crucial to identify which sensors can accurately measure key water quality parameters, their manufacturers, and their reliability in different environments. Although there is an increasing body of work utilizing low-cost water quality sensors, many questions remain unanswered. To address this issue, a systematic literature review was conducted to determine which low-cost sensors are being used for remote water quality monitoring. The results show that there are three primary vendors for the sensors used in the selected papers. Most sensors range in price from US$6.9 to US$169.00 but can cost up to US$500.00. While many papers suggest that low-cost sensors are suitable for water quality monitoring, few compare low-cost sensors to reference devices. Therefore, further research is necessary to determine the reliability and accuracy of low-cost sensors compared to professional devices.

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Section: Were the Results Obtained Through Low-cost Sensors Compared ...mentioning

confidence: 99%

Low-Cost Water Quality Sensors for IoT: A Systematic Review

Camargo

Spanhol

Slongo

et al. 2023

Sensors

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“…Untuk efektifitas pemeliharaan, diperlukan sistem pemantauan yang secara realtime memantau parameter IPAL. Sistem pemantauan secara realtime banyak dikembangkan, seperti untuk pemantauan tempat sampah 1 , sistem penyiraman tanaman 2 , dan air limbah [3][4][5][6] .…”

Section: Pendahuluanunclassified

“…Sistem pemantauan kualitas efluen IPAL yang lebih lengkap meliputi pH, suhu air, Total Suspended Solids (TSS), dan Chemical Oxygen Demand (COD) dikembangkan untuk pemantauan air limbah pabrik 5 . Untuk memantau pengoperasian unit sensor dan rangkaian elektronika, selain parameter kimia air limbah, dikembangkan juga sistem untuk memantau parameter kelistrikan unit pemantau 6 .…”

Section: Pendahuluanunclassified

Implementasi Aplikasi Android Untuk Pemantauan IPAL Komunal Menggunakan Simulasi Data Dari Piranti Elektronika Tertanam

Soetedjo¹,

Hendriarianti

2022

comfort

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Instalasi Pengolahan Air Limbah (IPAL) Komunal merupakan suatu unit pengolahan air limbah domestik yang perlu dipantau dan dipelihara secara teratur. Pada kegiatan pengabdian kepada masyarakat ini diimplementasikan suatu sistem pemantauan IPAL secara realtime yang dapat diakses oleh pengelola IPAL melalui aplikasi Android di Smartphone. Sehubungan dengan kondisi pandemi COVID-19 yang belum memungkikan pemasangan alat dan sensor di lokasi IPAL, maka digunakan model data IPAL yang dismulasikan pada piranti elektronika tertanam yang mengirimkan data ke server Internet of Things (IoT) berbasia aplikasi Blynk. Aplikasi sistem pemantau IPAL telah berfungsi dengan baik dan dapat dioperasikan dengan mudah oleh pengguna untuk memantau IPAL secara realtime.

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“…Moreover, we consider environmental phenomena that effects network communication, with the optimal redundancy parameters derived by the control center to maximize the application lifetime. In [20] the authors propose an IoT based sensor system for sewage treatment plant monitoring. They use temperature, turbidity and pH sensors to monitor the sewage system and send real-time results to a cloud-based server.…”

Section: Related Workmentioning

confidence: 99%

Optimizing the Lifetime of IoT-Based Star and Mesh Networks

et al. 2020

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In this paper, we propose and analyze a novel optimization model to maximize the lifetime of Internet-of-Things (IoT) networks, including the Low Power Wide-Area Network (LPWAN) based Sigfox star networks and Time Slotted Channel Hopping (TSCH) mesh networks. An IoT cloud manages the IoT network adapting to sensed phenomenon changes in the deployment area retrieved from peered cloud-based environmental monitoring systems. While increasing the number of paths for IoT devices to cloud communication increases reliability, it also comes at the expense of increased energy consumption. We consider an optimization problem to determine the best redundancy level to be applied in the IoT network such that the lifetime is maximized while achieving the quality-of-service (QoS) requirements in the presence of unreliable sensing environments. Our model is generic and easily adaptable to a given IoT technology by considering the technology's devices, environmental, and protocol specifications while spanning single-hop, multi-hop, short-range, and long-range IoT technologies. We formulate the tradeoff between energy conservation vs. reliability of an IoT network as an Integer Non-Linear Programming (INLP) optimization problem. The feasibility of our approach in maximizing the lifetime of IoT networks for both the star and mesh network topologies is demonstrated using SigFox and TSCH as representative technologies, respectively. We conduct an extensive comparative performance analysis demonstrating that our model outperforms contemporary baseline models in both SigFox and TSCH IoT network technologies.

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A Minimalist Model of IoT based Sensor System for Sewage Treatment Plant Monitoring

Cited by 9 publications

References 10 publications

Low-Cost Water Quality Sensors for IoT: A Systematic Review

Low-Cost Water Quality Sensors for IoT: A Systematic Review

Implementasi Aplikasi Android Untuk Pemantauan IPAL Komunal Menggunakan Simulasi Data Dari Piranti Elektronika Tertanam

Optimizing the Lifetime of IoT-Based Star and Mesh Networks

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