<title>Fibre Optic Data Transmission And Multi-Service Networks In Industrial And Urban Environments</title>

This paper presents the design of wireless sensor network (WSN) based on low-power wide area network technology for high-tech agriculture. This WSN allows the farmer to collect data such as air temperature, air humidity, soil moisture. The WSN system consists of components: 02 wireless sensor nodes, 01 gateway, 01 cloud server and smartphone app. This WSN tested for data transmission in two zones: zone 1 (dense urban environments) at a distance of 500m and zone 2 (urban environments - less obstacles) at a distance of 1,500m and 1,700m. The data collected at different times of the day and updated every 15 minutes. The results show that the wireless sensor network system operates stably, data constantly updated to LoRa Server and there was not data packet loss. The power consumption of sensor node and gateway determined in three operating modes: transmitting, receiving, turn-off. This shows the advantages of LoRa technology in the development of wireless sensor network which is the distance of data transmission distance and low power consumption. Besides this WSN also tested in the net house of aquaponics of the Research Center for High-tech Application in Agriculture (RCHAA), University of Science, Vietnam National University-HCM. The results show that the WSN system is working reliably and promising which brings significantly benefits to smart agriculture as aquaponics, clean vegetable farms, aquaculture farms…

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Fibre Optic Development at the AAO

Publications of the Astronomical Society of Australia ◽

10.1017/s1323358000021512 ◽

1982 ◽

Vol 4 (4) ◽

pp. 477-479 ◽

Cited By ~ 2

Author(s):

P. M. Gray ◽

M. M. Phillips ◽

A. J. Turtle ◽

R. Ellis

Keyword(s):

Data Transmission ◽

Optical Fibres ◽

Aperture Size ◽

Fibre Optic ◽

Core Size ◽

Step Index ◽

Light Guides

Work on the development and use of optical fibres as light guides in astronomical spectroscopy has been underway at the AAO for over a year now. The fibres used are step-index polymer-clad silica with a core size of 200 microns giving an aperture size of 1.3 arcsec at the AAT f/8 focus. They are optimised for data transmission with losses below 5dB/km at a wavelength of 800 nm. The blue transmission is somewhat lower, typically 500dB/km at 300nm and 90dB/km at 400nm but over the short 2m length used these attenuations give transmissions of 79% and 96% respectively.

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Temporal spying and concealing process in fibre-optic data transmission systems through polarization bypass

Nature Communications ◽

10.1038/ncomms5678 ◽

2014 ◽

Vol 5 (1) ◽

Cited By ~ 26

Author(s):

P.Y. Bony ◽

M. Guasoni ◽

P. Morin ◽

D. Sugny ◽

A. Picozzi ◽

...

Keyword(s):

Data Transmission ◽

Fibre Optic ◽

Transmission Systems

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Practical components for fibre optic data transmission

Microelectronics Reliability ◽

10.1016/0026-2714(79)90609-7 ◽

1979 ◽

Vol 19 (5-6) ◽

pp. 623-632 ◽

Cited By ~ 1

Author(s):

J.K. Watts ◽

D.W. Harper

Keyword(s):

Data Transmission ◽

Fibre Optic

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On the possibility of developing incoherent fibre-optic data transmission systems based on signal spectral coding with matched acousto-optical filters

Quantum Electronics ◽

10.1070/qe2013v043n06abeh015178 ◽

2013 ◽

Vol 43 (6) ◽

pp. 542-545 ◽

Cited By ~ 9

Author(s):

Valerii V Proklov ◽

O A Byshevski-Konopko ◽

V I Grigorievski

Keyword(s):

Data Transmission ◽

Optical Filters ◽

Fibre Optic ◽

Transmission Systems ◽

Spectral Coding

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Wireless Sensor Networks for Long-Term Monitoring of Urban Noise

Sensors ◽

10.3390/s18093161 ◽

2018 ◽

Vol 18 (9) ◽

pp. 3161 ◽

Cited By ~ 14

Author(s):

Courtney Peckens ◽

Cédric Porter ◽

Taylor Rink

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Data Processing ◽

Data Transmission ◽

Noise Pollution ◽

Sound Level ◽

Urban Environments ◽

Wireless Sensor ◽

Handheld Devices ◽

Sound Levels

Noise pollution in urban environments is becoming increasingly common and it has potential to negatively impact people’s health and decrease overall productivity. In order to alleviate these effects, it is important to better quantify noise patterns and levels through data collection and analysis. Wireless sensor networks offer a method for achieving this with a higher level of granularity than traditional handheld devices. In this study, a wireless sensing unit (WSU) was developed that possesses the same functionality as a handheld sound level meter. The WSU is comprised of a microcontroller unit that enables on-board computations, a wireless transceiver that uses Zigbee protocol for data transmission, and an external peripheral board that houses the microphone transducer. The WSU utilizes on-board data processing techniques to monitor noise by computing equivalent continuous sound levels, LeqT, which effectively minimizes data transmission and increases the overall longevity of the node. Strategies are also employed to ensure real-time functionality is maintained on the sensing unit, with a focus on preventing bottlenecks between data acquisition, data processing, and wireless transmission. Four units were deployed in two weeks field validation test and were shown to be capable of monitoring noise for extended periods of time.

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