Smart Saline Level Monitoring System Using ESP32 And MQTT-S

Ghosh, Debjani; Agrawal, Ankit; Prakash, N. Krishna; Goyal, Pushkal

doi:10.1109/healthcom.2018.8531172

Cited by 44 publications

(7 citation statements)

References 6 publications

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“…Technical reference manuals and datasheets of ESP32 can be found on Espressif System's website (www.espressif.com). Ghosh et al built an ESP32 based smart IoT system for saline level monitoring in water using message queue telemetry transport (MQTT) [18]. Abdullah et al's project monitors gas leakages using ESP32 devices [19].…”

Section: Related Workmentioning

confidence: 99%

Performance analysis of lightweight Internet of things devices on blockchain networks

KÖSEMEN,

DALKILIÇ,

ÖKSÜZER

2022

Turkish Journal of Electrical Engineering and Computer Sciences

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Potential integration or cooperation of the Internet of things (IoT) systems and the blockchain technology is nowadays attracting remarkable interest from the researchers. These inter-operating systems often have to rely on lowcost, low-power, and robust IoT devices that can communicate with the blockchain network through smart contracts.In this work, we designed and ran a benchmark study for ESP32-based lightweight IoT devices interacting within the Quorum blockchain. A software library was built for ESP32 devices to enable elliptic-curve digital signing, Keccak-256 hashing, decoding, encoding, and secure private key generation capabilities, which all are the basic functional requirements for running a blockchain client. The running times and power consumption values of these essential operations were analyzed and discussed in detail. We also deployed two smart contract functions on the Quorum network and analyzed the performance of the IoT device while interacting via these methods. Further optimizations were proposed and implemented to speed-up the processes and save energy, which resulted in a 2.5x increase in the transaction posting speeds and a 2/3 decrease in the energy costs. Another performance comparison between an ESP32 and a PC client was also provided with.

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Section: Related Workmentioning

confidence: 99%

Performance analysis of lightweight Internet of things devices on blockchain networks

KÖSEMEN,

DALKILIÇ,

ÖKSÜZER

2022

Turkish Journal of Electrical Engineering and Computer Sciences

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“…An integral part of IoT today is the area of iHealth and health monitoring using smart embedded systems. This area is evidenced by the use of ESP32 for monitoring heart rate [20], an image recognition system for blind people in article [21], or a smart saline monitoring system in intravenous therapy [22]. Article [23] describes the possibilities of implementing a control system with the help of human gestures on wearable devices.…”

Section: Background and Related Workmentioning

confidence: 99%

Smart Home Monitoring System Using ESP32 Microcontrollers

Babiuch¹,

Postulka²

2021

Internet of Things

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This chapter deals with the implementation of our own monitoring system with home security. The system is designed using IoT modules and uses ESP32 microcontrollers. The chapter describes the design of the system, its hardware components, software implementation, security solutions, communication, the collecting and monitoring of processed data, as well as the quantification of costs for the production and deployment of this system. The proposed system secures a house by detecting an intruder in the building, triggering an alarm and capturing it all with camera images, and then sending data to the owner’s smart mobile phone. The secondary task of the system is to collect data from sensors for monitoring the temperature of an object and presenting it via a web server.

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“…MQTT is a communication protocol built on top of Transmission Control Protocol (TCP) protocol, with a low complexity and with the main goal of connecting devices to embedded networks. It is a many-to-many type of communication, and it consists of three components: publisher, broker, and subscriber [24]. The publisher, to communicate via MQTT, sends a message with two components: a topic and a message.…”

Section: Node-to-server Communicationmentioning

confidence: 99%

Precise Water Leak Detection Using Machine Learning and Real-Time Sensor Data

Coelho

Glória

Sebastião

2020

IoT

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Water is a crucial natural resource, and it is widely mishandled, with an estimated one third of world water utilities having loss of water of around 40% due to leakage. This paper presents a proposal for a system based on a wireless sensor network designed to monitor water distribution systems, such as irrigation systems, which, with the help of an autonomous learning algorithm, allows for precise location of water leaks. The complete system architecture is detailed, including hardware, communication, and data analysis. A study to discover the best machine learning algorithm between random forest, decision trees, neural networks, and Support Vector Machine (SVM) to fit leak detection is presented, including the methodology, training, and validation as well as the obtained results. Finally, the developed system is validated in a real-case implementation that shows that it is able to detect leaks with a 75% accuracy.

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Smart Saline Level Monitoring System Using ESP32 And MQTT-S

Cited by 44 publications

References 6 publications

Performance analysis of lightweight Internet of things devices on blockchain networks

Performance analysis of lightweight Internet of things devices on blockchain networks

Smart Home Monitoring System Using ESP32 Microcontrollers

Precise Water Leak Detection Using Machine Learning and Real-Time Sensor Data

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