Radio Monitoring of Wireless Networks Using LoRa Data Transmission Technology

Kazakov, G. N.; Petrakov, A. M.; Shevtsov, V. A.

doi:10.1109/ieeeconf48371.2020.9078640

Cited by 3 publications

(2 citation statements)

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“…The power management module is responsible for the power supply requirements of water quality monitoring node, and it is composed of a lithium battery and a step-down circuit. The power supply requirement of LoRa module is 3.3 V [25,26], and the power supply voltage of MCU and water quality sensor is 5 V. Thus, TLV62565 step-down circuit is selected to reduce DC 5 V voltage of lithium battery to 3.3 V required by MCU. The schematic diagram of power management module is shown in Figure 4.…”

Section: Power Management Module Designmentioning

confidence: 99%

Research and Design of Distributed IoT Water Environment Monitoring System Based on LoRa

Chen

Hao

Lu³

et al. 2021

Wireless Communications and Mobile Computing

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In order to solve the problems of high labor cost, long detection period, and low degree of information in current water environment monitoring, this paper proposes a lake water environment monitoring system based on LoRa and Internet of Things technology. The system realizes remote collection, data storage, dynamic monitoring, and pollution alarm for the distributed deployment of multisensor node information (water temperature, pH, turbidity, conductivity, and other water quality parameters). Moreover, the system uses STM32L151C8T6 microprocessor and multiple types of water quality sensors to collect water quality parameters in real time, and the data is packaged and sent to the LoRa gateway remotely by LoRa technology. Then, the gateway completes the bridging of LoRa link to IP link and forwards the water quality information to the Alibaba Cloud server. Finally, end users can realize the water quality control of monitored water area by monitoring management platform. The experimental results show that the system has a good performance in terms of real-time data acquisition accuracy, data transmission reliability, and pollution alarm success rate. The average relative errors of water temperature, pH, turbidity, and conductivity are 0.31%, 0.28%, 3.96%, and 0.71%, respectively. In addition, the signal reception strength of the system within 2 km is better than -81 dBm, and the average packet loss rate is only 94%. In short, the system’s high accuracy, high reliability, and long distance characteristics meet the needs of large area water quality monitoring.

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Section: Power Management Module Designmentioning

confidence: 99%

Research and Design of Distributed IoT Water Environment Monitoring System Based on LoRa

Chen

Hao

Lu³

et al. 2021

Wireless Communications and Mobile Computing

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show abstract

“…The duration of the search process and the reliability of the received information depend on the completeness of solving tasks by search equipment. The completeness and speed of their implementation, the effectiveness of the search engine, the reliability of the information obtained and the probability of decision-making depend on the structure of the search engine and the characteristics of the tools used in it [6,8].…”

Section: Introductionmentioning

confidence: 99%

Methods for Assessment and Forecasting of Electromagnetic Radiation Levels in Urban Environments

Bakhtiiarov

Lavrynenko

Lishchynovska

et al. 2021

IAPGOS

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Methods for synthesis a structural diagram of the processes for detecting and locating technical information leakage channels are analysed. Software for defining a controlled room zone was also presented. A proprietary approach to search the electromagnetic environment under radio interference has been developed to detect devices for unauthorized control of acoustic information using microphones and transmission of this information using a radio channel.

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IoT enabled sensor node: a tutorial paper

James

Seth

Mukhopadhyay

2020

International Journal on Smart Sensing and Intelligent Systems

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A descriptive guide to develop smart sensor nodes for Internet of Things (IoT) application has been presented in the paper. The current technology of low-power wide area network (LPWAN) which transmits data with low power consumption over a wide area has been illustrated in the scope of this project. An overview of the transition of IoT devices from a limited range personal area network to wide area network is justified. A sensor node has been developed and tested to validate the implementation of a LoRa network, which can be an exemplar for sensor nodes for various applications.

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Radio Monitoring of Wireless Networks Using LoRa Data Transmission Technology

Cited by 3 publications

References 0 publications

Research and Design of Distributed IoT Water Environment Monitoring System Based on LoRa

Research and Design of Distributed IoT Water Environment Monitoring System Based on LoRa

Methods for Assessment and Forecasting of Electromagnetic Radiation Levels in Urban Environments

IoT enabled sensor node: a tutorial paper

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