Automatic water level monitoring and seat availability details in train using wireless sensor network

Riverine flood is a major disaster faced by most countries and has significant adverse effect on long term economic growth of affected regions and their environments. Several systems have previously employed different technologies to monitor riverine flood but are expensive with low accuracy and consumes high amount of energy. In this paper, we proposed an energy efficient and accurate flood monitoring system. The system leverages on Internet Protocol Version 6 over Low Power Wireless Personal Area Network (6loWPAN) technology to construct a Wireless Sensor Network (WSN) comprising of two XM1000 motes and a rule-base water level monitoring application. The motes were configured using NesC programming for flood monitoring with Basestation and water level sensing applications. The water level sensing mote samples and transmits real-time water level information to the Basestation mote which interfaces with a rule-based water level monitoring application. The application compares current water level with a predetermined threat level and alerts relevant agencies when flood is imminent via an email. The results obtained from the emulation of the developed system showed that, it achieved an accuracy of 95.3% in water level monitoring with a Mean Squared Error of 5.1. The power consumed in transmitting a packet of 2 bytes payload plus other overhead was 0.4µJ and 0.0396mJ with and without 6loWPAN configuration respectively.

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Design and Implementation of a Wireless Sensor Network-Based Remote Water-Level Monitoring System

Sensors ◽

10.3390/s110201706 ◽

2011 ◽

Vol 11 (2) ◽

pp. 1706-1720 ◽

Cited By ~ 15

Author(s):

Xiuhong Li ◽

Xiao Cheng ◽

Peng Gong ◽

Ke Yan

Keyword(s):

Wireless Sensor Network ◽

Water Level ◽

Sensor Network ◽

Monitoring System ◽

Wireless Sensor ◽

Design And Implementation ◽

Level Monitoring ◽

Water Level Monitoring

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Energy efficient wireless sensor network and low power consumption station design for an urban water level monitoring system

2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS) ◽

10.1109/nics.2016.7725660 ◽

2016 ◽

Cited By ~ 8

Author(s):

Tuan-Duc Nguyen

Keyword(s):

Wireless Sensor Network ◽

Power Consumption ◽

Low Power ◽

Water Level ◽

Energy Efficient ◽

Wireless Sensor ◽

Low Power Consumption ◽

Urban Water ◽

Level Monitoring ◽

Water Level Monitoring

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Application of Wireless Sensor Network in remote monitoring: Water-level sensing and temperature sensing, and their application in agriculture

2014 First International Conference on Automation, Control, Energy and Systems (ACES) ◽

10.1109/aces.2014.6807994 ◽

2014 ◽

Cited By ~ 2

Author(s):

Yudhajeet Dasgupta ◽

P M Guru Darshan

Keyword(s):

Wireless Sensor Network ◽

Water Level ◽

Sensor Network ◽

Remote Monitoring ◽

Temperature Sensing ◽

Wireless Sensor

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Implementing Zigbee-based Wireless Sensor Network in the Design of Water Quality Monitoring System

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.c5512.098319 ◽

2019 ◽

Vol 8 (3) ◽

pp. 6174-6179

Keyword(s):

Water Quality ◽

Wireless Sensor Network ◽

Dissolved Oxygen ◽

Water Level ◽

Sensor Network ◽

Water Quality Monitoring ◽

Water Remediation ◽

Quality Monitoring ◽

Wireless Sensor ◽

Rf Transceiver

This study presents the design and development of a precision fishing technology utilized in water quality monitoring with phytoremediation system using a Zigbee-based Wireless Sensor Network. The system afforded a real-time water quality monitoring using multiple sensors spatially deployed. The sensor node implemented in the Wireless Sensor Network to perform data sensing utilities with the water quality parameters including the water temperature, pH level, water dissolved oxygen and the water level during high-tide and low-tide. During the development, a P89V51RD2 microcontroller, ZigBee module with IEEE 802.15.4 standard, and radio frequency (RF) transceiver were utilized. The developed precision fishing technology utilized the Internet of Things architecture. The IoT device layer includes the temperature sensor, pH sensor, dissolved oxygen sensor, and the water level sensor. Phytoremediation was also used as an alternative solution for soil and water remediation. Further studies using recent and advanced remote sensing technologies and IoT-based solutions can be developed to address issues in the primary sector of the economy.

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Development of a Wireless Sensor Network for Tracking Flood Irrigation Management in Production-Sized Rice Fields in the Mid-South

Applied Engineering in Agriculture ◽

10.13031/aea.13962 ◽

2020 ◽

Vol 36 (5) ◽

pp. 703-715

Author(s):

Yin-Lin J Chiu ◽

Michele L Reba

Keyword(s):

Wireless Sensor Network ◽

Water Level ◽

Sensor Network ◽

Field Condition ◽

Irrigation Management ◽

Growing Season ◽

Rice Fields ◽

Wireless Sensor ◽

Flood Irrigation ◽

Production Scale

HighlightsDeployed a wireless sensor network to track flood irrigation management in ~255 ha production scale rice fieldsUltrasonic sensors were installed in rice fields and water level data were wirelessly transmitted for the growing seasonStudy found significant relationship between automated and manual measurement methodsPotential benefits of using wireless sensor networks are described Abstract. The inclusion of automation in agricultural irrigation may improve crop management by providing organized, site-specific, and real-time information to producers. The objective of this study was to develop a rugged, wireless sensor network (WSN) and infrastructure to retrieve, process, and disseminate sensor data installed in remote rice fields. The study took place during the 2018 rice production season in eastern Arkansas. A working prototype WSN (consisting of 24 sensor nodes) was assembled and field-tested in sixteen production-sized (approximately 16 ha each) irrigated rice fields. Data were collected during the growing season and included water depth and soil water. The WSN retrieved, processed, and disseminated in-situ data from the production fields to a remote computer server. Data were made viewable via a web browser on internet-connected computers and mobile devices. The analysis quantified the benefits, costs, and practical usability of the system to assist with field condition monitoring and irrigation management in production-sized rice farming operations. Water level measurements using the WSN unit were significantly related to the actual measurements in Multiple-inlet rice irrigation (MIRI), Row rice (ROW), and Alternate wetting and drying (AWD) irrigation treatments (r = 0.453 to 0.946, p = <0.0001). However, the reliability of this equipment was challenged by field installation and maintenance. Several in-house troubleshooting methods are discussed to ensure accurate usage of this automated system in future deployments. The results of the study indicated the use of the ultrasonic sensor for estimating water level in MIRI, ROW and AWD irrigation to be a viable solution for future WSN development. The functional WSN supported sensors for automated water level and soil water measurements that could, in future, provide real-time knowledge of the field condition, and enhance resource management for the producer. Keywords: Field condition monitoring, Production scale field monitoring, Remote sensor, Wireless sensor, Wireless sensor network.

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