Design and Implementation of an IoT Based Monitoring System for Inland Vessels Using Multiple Sensors Network

Zunair, Hasib; Hasan, Wordh Ul; Zaman, Kimia Tuz; Haque, Muhammad Irfanul; Aoyon, Soumic Shekhar

doi:10.1109/icssa.2018.8535976

Cited by 10 publications

(2 citation statements)

References 1 publication

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“…Testing of all these sensors is not intended to measure the accuracy of sensor readings because the output on these sensors is calibrated at the time of purchase (Table 3). The test results of the two sensors show the results of the DHT11 and pH sensor readings [22]. The test results on the DHT11 sensor and pH sensor show that the sensor can read the temperature, humidity, and pH values, which will later be sent to Blynk Cloud via the internet.…”

Section: Testingmentioning

confidence: 99%

Design Mobile Application Variable Temperature and Humidity Water Flow Rate Automatic Control System

Anwar¹,

Widodo²,

Rahaman³

et al. 2022

Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and

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The primary measurements used to calculate the amount of water required are soil temperature and plant humidity. As a result of this system's sophisticated functional equations and non-linear input design, it needs a system that can decide when to sprinkle water. One of the ideas that can be applied to produce a judgment that is similar to the ones made by people is fuzzy logic. Used was a microcontroller-based fuzzy logic control system. The goal of this is to create a method for managing the amount of water and fertilizer that plants receive. Temperature and soil surface moisture measurements are measured by this system using the DHT11 sensor. Additionally, this system controls with fuzzy logic using a pH sensor as an input. In addition to real-time information and reports, this system may be watched over utilizing a mobile application. The Blynk Node MCU ESP8266 microcontroller's built-in Wi-Fi module is a great option. The average connection speed between the first and second pumps is 1235.90 ms, with a linear correlation of 0.6754 and a Pearson correlation of 0.7158. During physical activity, core body temperature rises as relative humidity rises, and falls as humidity falls.

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Section: Testingmentioning

confidence: 99%

Design Mobile Application Variable Temperature and Humidity Water Flow Rate Automatic Control System

Anwar¹,

Widodo²,

Rahaman³

et al. 2022

Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and

View full text Add to dashboard Cite

show abstract

“…S. Ch et al [7] designed a network for vessel tracking and underwater vibration detection. H. Zunair [8] presented an observation network applied to vessel inspection in Bangladesh. N. Ellouze et al [9] modeled a sensing network for detecting, identifying, and settling the specific location in rivers.…”

Section: A the Progress Of Inland Waterway Sensing Technologymentioning

confidence: 99%

SM-UAN: A Software-Defined Underwater Acoustic Network of Multi-Controllers for Inland Waterway Systems

et al. 2020

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Underwater acoustic network (UAN) is a lightweight system used in inland waterway systems. Software-defined networking (SDN) is a promising approach to improve the supervision abilities and integration services. This paper introduces SM-UAN, an SDN-based UAN with multi-controllers. Firstly, a hierarchical framework of SM-UAN is offered. Secondly, a multi-flow table structure and a multi-flow processing method is built. Followed by, a distributed deployment model of controllers and a load balancing mechanism are established. Finally, we construct an experimental scenario on Mininet with WOSS-NS3. The simulation demonstrates that the compression ratio is promoted to 24.1%, the compression ratio 29.4%, the packet forwarding rate 14.7% and the processing delay 31.2%, when comparing SM-UAN with the item-by-item matching (IM) system. For the load balancing mechanism, it shows that the maximum load for a master controller is balanced to 0.55, while the minimum load for a slave controller 0.46, which proves that a fair load distribution achieves. In addition, SM-UAN is compared with the traditional single-sink-based UAN (TS-UAN), the traditional multi-sink-based UAN (TM-UAN), and the SDN-based UAN with a single controller (SS-UAN). The results reveal that the survival time of SM-UAN is extended to 32.7%, 24.9%, and 21.6%, respectively. Also, the bit error rate (BER) of that is less than 10-4. In conclusion, advantages of SM-UAN have been highlighted, which provides theoretical support for inland waterway systems.

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Modeling Internet of Things-Based Solution for Evading Congestion and Blockage in Waterways

Rao

Kamila

Sahoo

et al. 2022

Biologically Inspired Techniques in Many Criteria Decision Making

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Design and Implementation of an IoT Based Monitoring System for Inland Vessels Using Multiple Sensors Network

Cited by 10 publications

References 1 publication

Design Mobile Application Variable Temperature and Humidity Water Flow Rate Automatic Control System

Design Mobile Application Variable Temperature and Humidity Water Flow Rate Automatic Control System

SM-UAN: A Software-Defined Underwater Acoustic Network of Multi-Controllers for Inland Waterway Systems

Modeling Internet of Things-Based Solution for Evading Congestion and Blockage in Waterways

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