Environmental parameter monitoring using wireless sensor network

Vairamani, K.; Mathivanan, N.; Venkatesh, Krishna; Kumar, Uttam

doi:10.1134/s0020441213040118

Cited by 13 publications

(2 citation statements)

References 5 publications

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“…In recent decades, there has been a growing interest in installing sensor networks to monitor different variables related to environmental protection [ 15 , 16 ], ecology [ 17 , 18 ], and volcanology [ 19 ], among others, in remote or difficult-to-access locations with no infrastructure. These wireless sensor networks (WSN) are organized as a series of dispersed nodes with sensing capabilities that collect and send data to a centralized hub.…”

Section: Sg-was Photometermentioning

confidence: 99%

SG-WAS: A New Wireless Autonomous Night Sky Brightness Sensor

Alarcon

Puig-Subirà

Serra

et al. 2021

Sensors

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The main features of SG-WAS (SkyGlow Wireless Autonomous Sensor), a low-cost device for measuring Night Sky Brightness (NSB), are presented. SG-WAS is based on the TSL237 sensor –like the Unihedron Sky Quality Meter (SQM) or the STARS4ALL Telescope Encoder and Sky Sensor (TESS)–, with wireless communication (LoRa, WiFi, or LTE-M) and solar-powered rechargeable batteries. Field tests have been performed on its autonomy, proving that it can go up to 20 days without direct solar irradiance and remain hibernating after that for at least 4 months, returning to operation once re-illuminated. A new approach to the acquisition of average NSB measurements and their instrumental uncertainty (of the order of thousandths of a magnitude) is presented. In addition, the results of a new Sky Integrating Sphere (SIS) method have shown the possibility of performing mass device calibration with uncertainties below 0.02 mag/arcsec2. SG-WAS is the first fully autonomous and wireless low-cost NSB sensor to be used as an independent or networked device in remote locations without any additional infrastructure.

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Section: Sg-was Photometermentioning

confidence: 99%

SG-WAS: A New Wireless Autonomous Night Sky Brightness Sensor

Alarcon

Puig-Subirà

Serra

et al. 2021

Sensors

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“…WSN solutions already cover a very broad range of application areas such as medical [19,20,21], environmental [22,23], military [24,25], precision agriculture [26,27,28], animal tracking [29,30], smart spaces [31,32], or surveillance [33,34,35], and research and technology advances continuously expand their application field. With their low power consumption and ease of deployment, WSN are a promising technology when considering volcano monitoring [35,36].…”

Section: Introductionmentioning

confidence: 99%

An Internet of Things (IoT) Application on Volcano Monitoring

Awadallah

Moure-García

Torres-González

2019

Sensors

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In the last few years, there has been a huge interest in the Internet of Things (hereinafter IoT) field. Among the large number of IoT technologies, the low-power wide-area network (hereinafter LPWAN) has emerged providing low power, low data-rate communication over long distances, enabling battery-operated devices to operate for long time periods. This paper introduces an application of long-range (hereinafter LoRa) technology, one of the most popular LPWANs, to volcanic surveillance. The first low-power and low-cost wireless network based on LoRa to monitor the soil temperature in thermal anomaly zones in volcanic areas has been developed. A total of eight thermometers (end devices) have been deployed on a Teide volcano in Tenerife (Canary Islands). In addition, a repeater device was developed to extend the network range when the gateway did not have a line of sight connection with the thermometers. Combining LoRa communication capabilities with microchip microcontrollers (end devices and repeater) and a Raspberry Pi board (gateway), three main milestones have been achieved: (i) extreme low-power consumption, (ii) real-time and proper temperature acquisition, and (iii) a reliable network operation. The first results are shown. These results provide enough quality for a proper volcanic surveillance.

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