Analysis of Power Characteristics for Sap Flow, Soil Moisture, and Soil Water Potential Sensors in Wireless Sensor Networking Systems

Davis, T. W.; Liang, Xu; Kuo, Chen-Min; Liang, Yao

doi:10.1109/jsen.2011.2179933

Cited by 22 publications

(12 citation statements)

References 15 publications

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“…The selection of the transmission mechanism is hardly conditioned by the characteristics of the environment where a sensor network is developed [6]. In our case, the most of the region is open field, in a non urban environment.…”

Section: Transmission Mediamentioning

confidence: 94%

Automated Soil Moisture Monitoring Wireless Sensor Network for Long-Term Cal/Val Applications

Cano¹,

Anon²,

Reig³

et al. 2012

WSN

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The design and development of a wireless sensor network for soil moisture measurement in an unlevelled 10 km × 10 km area, is described. It was specifically deployed for the characterization of a reference area, in campaigns of calibration and validation of the space mission SMOS (Soil Moisture and Ocean Salinity), but the system is easily extensible to monitor other climatic or environmental variables, as well as to other regions of ecological interest. The network consists of a number of automatic measurement stations, strategically placed following soil homogeneity and land uses criteria. Every station includes acquisition, conditioning and communication systems. The electronics are battery operated with the help of solar cells, in order to have a total autonomous system. The collected data is then transmitted through long radio links, with ling ranges above 8 km. A standard PC linked to internet is finally used in order to control the whole network, to store the data, and to allow the remote access to the real-time data

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Section: Transmission Mediamentioning

confidence: 94%

Automated Soil Moisture Monitoring Wireless Sensor Network for Long-Term Cal/Val Applications

Cano¹,

Anon²,

Reig³

et al. 2012

WSN

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“…The third sensor is a pair of Granier-style thermal dissipation (constant heat) sap flow sensor probes (Figure 1c), which were made and calibrated following [39]. The sap flow probes are connected to the mote’s sensor board via a control circuit (Figure 1d) to amplify and condition the thermocouple response voltage as shown in [43]. The sap flow control circuit is operated by a 12 V lead-acid battery to accommodate the additional power requirements of the thermal dissipation method.…”

Section: Methodsmentioning

confidence: 99%

A Networked Sensor System for the Analysis of Plot-Scale Hydrology

Villalba

Plaza

Zhong

et al. 2017

Sensors

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This study presents the latest updates to the Audubon Society of Western Pennsylvania (ASWP) testbed, a $50,000 USD, 104-node outdoor multi-hop wireless sensor network (WSN). The network collects environmental data from over 240 sensors, including the EC-5, MPS-1 and MPS-2 soil moisture and soil water potential sensors and self-made sap flow sensors, across a heterogeneous deployment comprised of MICAz, IRIS and TelosB wireless motes. A low-cost sensor board and software driver was developed for communicating with the analog and digital sensors. Innovative techniques (e.g., balanced energy efficient routing and heterogeneous over-the-air mote reprogramming) maintained high success rates (>96%) and enabled effective software updating, throughout the large-scale heterogeneous WSN. The edaphic properties monitored by the network showed strong agreement with data logger measurements and were fitted to pedotransfer functions for estimating local soil hydraulic properties. Furthermore, sap flow measurements, scaled to tree stand transpiration, were found to be at or below potential evapotranspiration estimates. While outdoor WSNs still present numerous challenges, the ASWP testbed proves to be an effective and (relatively) low-cost environmental monitoring solution and represents a step towards developing a platform for monitoring and quantifying statistically relevant environmental parameters from large-scale network deployments.

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“…1). In particular, WSNs are revolutionizing the environmental intelligence field, since they allow acquiring magnitudes, such as temperature, carbon-dioxide concentration, UV radiation, pressure, or humidity with spatial and temporal resolutions inconceivable with traditional sensing systems [1], [2]. Therefore, these networks include several sensors in each node; each sensor measures the parameter of interest and provides an output that will not only depend on it but also on other cross-related parameters, among which the temperature is especially significant.…”

Section: Introductionmentioning

confidence: 99%

1.2 V–0.18-$\mu \text{m}$ CMOS Temperature Sensors With Quasi-Digital Output for Portable Systems

Azcona

Calvo

Medrano

et al. 2015

IEEE Trans. Instrum. Meas.

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This paper presents two compact frequency-output temperature sensors based on a multivibrator current-tofrequency converter to improve sensor linearity over a wide temperature range featuring low-voltage low-power operation. Both sensors have been fabricated in a low-cost 0.18-µm CMOS technology with a single 1.2 V supply voltage. They show high linearity over a temperature range of −40°C to +120°C, achieving an inaccuracy of ±1°C, with sensitivities of 335 Hz/°C and 460 Hz/°C, a power consumption below 3 µW, and an area below 0.025 mm 2 . These features make them a highly suitable solution in the case of portable applications.Index Terms-CMOS integrated circuits, low-voltage lowpower, quasi-digital output, smart sensors, temperature to frequency, wireless sensor network (WSN).

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Analysis of Power Characteristics for Sap Flow, Soil Moisture, and Soil Water Potential Sensors in Wireless Sensor Networking Systems

Cited by 22 publications

References 15 publications

Automated Soil Moisture Monitoring Wireless Sensor Network for Long-Term Cal/Val Applications

Automated Soil Moisture Monitoring Wireless Sensor Network for Long-Term Cal/Val Applications

A Networked Sensor System for the Analysis of Plot-Scale Hydrology

1.2 V–0.18-$\mu \text{m}$ CMOS Temperature Sensors With Quasi-Digital Output for Portable Systems

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