The Energy Endoscope: Real-Time Detailed Energy Accounting for Wireless Sensor Nodes

The movement reflects the health of dairy cows. In this paper, each cattle installs wireless sensor nodes in their neck to collect information about the position of the cows. In order to avoid the influence of the environment on network nodes ranging accuracy, at the same time improve positioning accuracy, this paper give Ranging optimization and positioning optimization, combines the RSSI ranging with APIT algorithm, and proposes APIT localization algorithm based on RSSI correction for real-time positioning ,the simulation shows that compared with traditional method, the improved algorithm has high positioning accuracy, low requirement for the distribution of beacon nodes.

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Real-time Location Tracking System Using Ultrasonic Wireless Sensor Nodes

Journal of Control Automation and Systems Engineering ◽

10.5302/j.icros.2007.13.7.711 ◽

2007 ◽

Vol 13 (7) ◽

pp. 711-717

Keyword(s):

Real Time ◽

Tracking System ◽

Sensor Nodes ◽

Wireless Sensor ◽

Location Tracking ◽

Wireless Sensor Nodes

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Research on Energy Estimation Mechanism for Wireless Sensor Nodes

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.43.357 ◽

2010 ◽

Vol 43 ◽

pp. 357-360

Author(s):

Xin Yu ◽

Zu Jue Chen ◽

Xiao Lei Cai

Keyword(s):

Real Time ◽

Time Estimation ◽

Residual Energy ◽

Sensor Nodes ◽

Wireless Sensor ◽

Wireless Sensor Nodes ◽

Energy Estimation ◽

Sensor Network Design ◽

Effective Estimate ◽

Real Time Estimation

Energy is one of the most important parts of wireless sensor network design. Effective estimate the residual power of sensor nodes can be used to aid select the all-round and optimal schemes for applications and router protocols design, which can notably promote the survival period of wireless sensor networks. By software based real time energy estimation to scale the power consume of nodes can conciliate the deficiency of hardware. However, because node energy loss is nonlinear, so software based real time estimation inevitably not accurate. On the contrary, hardware based method scale residual energy in terms of reliability, efficiency and accuracy are relatively better.

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PSIV-6 A real-time monitoring system for composting of livestock manure

Journal of Animal Science ◽

10.1093/jas/skz258.455 ◽

2019 ◽

Vol 97 (Supplement_3) ◽

pp. 223-224

Author(s):

Gee-Tae Park ◽

HyoKon Kang ◽

YoungJun Na ◽

SANGRAK LEE

Keyword(s):

Electrical Conductivity ◽

Real Time ◽

Monitoring System ◽

Sensor Nodes ◽

Wireless Sensor ◽

Real Time Monitoring ◽

Livestock Manure ◽

Wireless Sensor Nodes ◽

The Status ◽

Fermentation Parameters

Abstract This study was conducted to measure major indices for composting of livestock manure using a real-time ICT equipment. The equipment can receive the data such as temperature, humidity, and electrical conductivity every minute from a compost. Collected data were stored in the server via the wireless sensor nodes and gateways, and automatically visualized to observe the status of compost as graphs. A total of 9 fixed ventilation type vessels (height, 200 cm; diameter, 30 cm; thickness, 2 cm) made of PVC material were designed to inject external air using a ring blower (KJB1-1500, KIJEONSA Co., Republic of Korea) through the vent at lower part of vessel. Cattle manure that piled approximately 75 kg into each vessel, with injecting external air as 15 L/min and the change of each factor was measured and recorded for 15 days. Sensors (5TE, METER Group Inc., USA) were put through holes at 20, 105, and 190 cm from the bottom of each vessel. The measured values were different depending on the position of the sensor. For example, at 17:00 on September 15, 2018, the humidity in the Vessel 1 was top 1.4 %, middle 47.7 %, and bottom 91.1 %. The electrical conductivity was top zero, middle 4.69 dS/m and bottom 13.24 dS/m, and the temperature was top 46.0 ℃, middle 31.7 ℃ and bottom was 22.9 ℃ at 13:15 on September 9, 2018. Because differences were detected by the measurement position in the same compost during the composting period, the location of the sensor was important for measurement of composting. Overall, continuous and real-time monitoring was possible to measure fermentation parameters during the composting process by the real-time ICT equipment. Therefore, this system can be utilized for monitoring for optimal livestock manure decomposition model.

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