A LOW-COST MULTIHOP WIRELESS SENSOR NETWORK, ENABLING REAL-TIME MANAGEMENT OF ENVIRONMENTAL DATA FOR THE GREENHOUSE AND NURSERY INDUSTRY

2008 ◽  
pp. 523-530 ◽  
Author(s):  
J.D. Lea-Cox ◽  
A.G. Ristvey ◽  
F. Arguedas Rodriguez ◽  
D.S. Ross ◽  
J. Anhalt ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Time Management ◽  
Low Cost ◽  
Environmental Data ◽  
Wireless Sensor ◽  
Multihop Wireless

Event Processing-based Low-Power Low-Cost Wireless Sensor Network for Real Time Wildfire Monitoring

2020 ◽  
Vol 69 (5) ◽  
pp. 706-718
Author(s):  
Sangho Choe ◽  
Jeong-Hwa Yoo ◽  
Ponsuge Surani Shalika Tissera ◽  
Jo-In Kang ◽  
Hee-Kyung Yang
Keyword(s):  
Wireless Sensor Network ◽  
Low Power ◽  
Real Time ◽  
Sensor Network ◽  
Low Cost ◽  
Wireless Sensor ◽  
Event Processing

scholarly journals Low-Cost, Open Source Wireless Sensor Network for Real-Time, Scalable Groundwater Monitoring

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1066 ◽  
Author(s):  
Andrew J. Calderwood ◽  
Richard A. Pauloo ◽  
Alysa M. Yoder ◽  
Graham E. Fogg
Keyword(s):  
Wireless Sensor Network ◽  
Open Source ◽  
Real Time ◽  
Sensor Network ◽  
Groundwater Monitoring ◽  
Low Cost ◽  
Wireless Sensor ◽  
Monitoring Systems ◽  
Capital Costs ◽  
Groundwater Supply

Population growth, climate uncertainties, and unsustainable groundwater pumping challenge aquifer sustainability worldwide. Efficient and data-driven groundwater supply management is a necessity to maintain essential water-dependent functions. Currently, managers lack the cost-effective, scalable, and reliable groundwater monitoring systems needed to collect vital groundwater data. Existing automated groundwater monitoring systems tend to be cost-prohibitive, and manual methods lack the spatial or temporal resolution to sufficiently meet critical water modeling, management, and policy objectives. In this study, we developed a fully automated, open source, low cost wireless sensor network (LCSN) for real-time groundwater data acquisition, processing, and visualization in the South American Subbasin Groundwater Observatory (GWO), located in California, USA. We demonstrate the steps taken to create the GWO, including field, hardware, software, and data pipeline components so that it may be easily reproduced in new areas. We find that the GWO is comparable in cost to manual measurements at a weekly measurement frequency, and costs between three and four times less than comparable commercially available telemetry and dashboard systems, largely due to the use of free open source software to acquire, clean, store, and visualize data. The open source-powered GWO thus lowers the financial and technical barrier of entry for real-time groundwater monitoring, creating the potential for more informed water management worldwide, particularly in regions whose managers are restricted by the high capital costs of commercial monitoring systems.

scholarly journals A wireless sensor network for monitoring volcanic tremors

2013 ◽  
Vol 1 (4) ◽  
pp. 4305-4348
Author(s):  
R. Lopes Pereira ◽  
J. Trindade ◽  
F. Gonçalves ◽  
L. Suresh ◽  
D. Barbosa ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Sensor Array ◽  
Low Cost ◽  
Population Monitoring ◽  
Early Warning Systems ◽  
Wireless Sensor ◽  
Warning Systems ◽  
Monitoring Equipment

Abstract. Monitoring of volcanic activity is important to learn about the properties of each volcano and provide early warning systems to the population. Monitoring equipment can be expensive and thus, the degree of monitoring varies from volcano to volcano and from country to country, with many volcanoes not being monitored at all. This paper describes the development of a Wireless Sensor Network (WSN) capable of collecting geophysical measurements on remote active volcanoes. Our main goals were to create a flexible, easy to deploy and maintain, adaptable, low-cost WSN for temporary or permanent monitoring of seismic tremor. The WSN enables the easy installation of a sensor array on an area of tens of thousand of m2, allowing the location of the magma movements causing the seismic tremor to be calculated. This WSN can be used by recording data locally for latter analysis or by continuously transmitting it in real time to a remote laboratory for real-time analyses.

A low-cost wireless sensor network for citizen science water quality monitoring

2021 ◽  
Author(s):  
Elena von Benzon ◽  
Elizabeth Bagshaw ◽  
Michael Prior-Jones ◽  
Isaac Sobey ◽  
Rupert Perkins ◽  
...  
Keyword(s):  
Water Quality ◽  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Low Cost ◽  
Water Quality Monitoring ◽  
Base Station ◽  
Quality Monitoring ◽  
Wireless Sensor ◽  
Monitoring Equipment

<p>We present the first trial of an accurate, low-cost wireless sensor, the ‘Hydrobean’, and base station designed for use by citizen scientists in catchment water quality monitoring. This novel wireless sensor network addresses key concerns identified with current volunteer monitoring programmes, including temporal discontinuity and insufficient data quality. Hydrobean continuously measures electrical conductivity, temperature and pressure and wirelessly transmits these data to an online portal for observation and download by users. These parameters can be used to assess catchment water quality status, with excursions from baseline conditions detected in real time at high temporal resolution. Citizen scientists have an increasingly important role to play in enhancing our scientific understanding of catchment water quality, but their contribution has so far been limited by barriers to access suitable monitoring equipment. Traditional grab sampling techniques result in key contamination incidents being missed and trend analysis limited as samples are analysed discretely, typically on a weekly or monthly basis. Additionally, the quality of data obtained from basic chemical test kits commonly used by citizen scientists does not meet the requirements of many data users. This research explores the role of low-cost wireless sensor networks in advancing the potential of citizen scientists in monitoring catchment water quality. Monitoring equipment available to citizen scientists generally needs to be low cost, so is unlikely to rival professional standard monitoring techniques in the foreseeable future. However, reliable, low-cost sensors which enable continuous, real-time monitoring do now exist for a limited range of water quality parameters and have been used in the development of the wireless sensor network presented here. Critically, Hydrobean and its base station are low cost, low maintenance, portable and robust in order to meet the requirements of community monitoring programmes. Ultimately, a model will be integrated into the real-time analysis of data collected by the wireless sensor network to predict when and where contamination incidents are expected to be affecting catchment water quality. We report initial field results of the Hydrobean wireless sensor network and will discuss ways in which the basic design can be improved in future versions. </p>

scholarly journals A wireless sensor network for monitoring volcano-seismic signals

2014 ◽  
Vol 14 (12) ◽  
pp. 3123-3142 ◽  
Author(s):  
R. Lopes Pereira ◽  
J. Trindade ◽  
F. Gonçalves ◽  
L. Suresh ◽  
D. Barbosa ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Low Cost ◽  
Population Monitoring ◽  
Early Warning Systems ◽  
Wireless Sensor ◽  
Warning Systems ◽  
Monitoring Equipment ◽  
Suspended Bridge

Abstract. Monitoring of volcanic activity is important for learning about the properties of each volcano and for providing early warning systems to the population. Monitoring equipment can be expensive, and thus the degree of monitoring varies from volcano to volcano and from country to country, with many volcanoes not being monitored at all. This paper describes the development of a wireless sensor network (WSN) capable of collecting geophysical measurements on remote active volcanoes. Our main goals were to create a flexible, easy-to-deploy and easy-to-maintain, adaptable, low-cost WSN for temporary or permanent monitoring of seismic tremor. The WSN enables the easy installation of a sensor array in an area of tens of thousands of m2, allowing the location of the magma movements causing the seismic tremor to be calculated. This WSN can be used by recording data locally for later analysis or by continuously transmitting it in real time to a remote laboratory for real-time analyses. We present a set of tests that validate different aspects of our WSN, including a deployment on a suspended bridge for measuring its vibration.

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