scholarly journals Design of a Mobile Low-Cost Sensor Network Using Urban Buses for Real-Time Ubiquitous Noise Monitoring

Sensors ◽  
2016 ◽  
Vol 17 (12) ◽  
pp. 57 ◽  
Author(s):  
Rosa Alsina-Pagès ◽  
Unai Hernandez-Jayo ◽  
Francesc Alías ◽  
Ignacio Angulo
Keyword(s):  
Real Time ◽  
Sensor Network ◽  
Low Cost

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 Distributed Acoustic Sensor Network for Real-Time Urban Sound Monitoring

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2119
Author(s):  
Ester Vidaña-Vila ◽  
Joan Navarro ◽  
Cristina Borda-Fortuny ◽  
Dan Stowell ◽  
Rosa Ma Alsina-Pagès
Keyword(s):  
Real Time ◽  
Sensor Network ◽  
Large Scale ◽  
Learning Algorithm ◽  
Low Cost ◽  
Individual Performance ◽  
Sound Recognition ◽  
Continuous Exposure ◽  
Acoustic Sensor ◽  
Deep Learning Algorithm

Continuous exposure to urban noise has been found to be one of the major threats to citizens’ health. In this regard, several organizations are devoting huge efforts to designing new in-field systems to identify the acoustic sources of these threats to protect those citizens at risk. Typically, these prototype systems are composed of expensive components that limit their large-scale deployment and thus reduce the scope of their measurements. This paper aims to present a highly scalable low-cost distributed infrastructure that features a ubiquitous acoustic sensor network to monitor urban sounds. It takes advantage of (1) low-cost microphones deployed in a redundant topology to improve their individual performance when identifying the sound source, (2) a deep-learning algorithm for sound recognition, (3) a distributed data-processing middleware to reach consensus on the sound identification, and (4) a custom planar antenna with an almost isotropic radiation pattern for the proper node communication. This enables practitioners to acoustically populate urban spaces and provide a reliable view of noises occurring in real time. The city of Barcelona (Spain) and the UrbanSound8K dataset have been selected to analytically validate the proposed approach. Results obtained in laboratory tests endorse the feasibility of this proposal.

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.

scholarly journals Real-Time Implementation of Greenhouse Monitoring System Based on Wireless Sensor Network

2019 ◽  
Vol 8 (2S2) ◽  
pp. 215-219
Keyword(s):  
Wireless Sensor Network ◽  
Embedded System ◽  
Real Time ◽  
Sensor Network ◽  
High Reliability ◽  
Low Cost ◽  
Economic Value ◽  
Weather Conditions ◽  
Wireless Sensor ◽  
Main Role

The climate change has brought about unpredictable weather conditions that have resulted in the global food shortage being experienced. This issue can be solved by greenhouses, they play a main role in increasing the crop yield per unit area and represent the suitable environment for off-corps yields. Managing and continuous monitoring the green house environment can be done using a wired sensor network, but the high cost, wiring complexity, fixed sensor locations and the restricted distances are the big problems of this type of a networking. To solve these problems, we implemented a real time embedded system using Wireless Sensor Network (WSN) based on ZigBee technology to control and monitor the environmental of greenhouses. The WSN can be adopted as the best solution to apply in greenhouse because of its good properties, long distances, low-cost, low power consumption, high security and high reliability. The constructed system is implemented based on simple components, ATMEGA328P microcontroller and ZigBee are represented the kernel of sensor node, collect data from various sensors and present them to a coordinating station where data can be stored and processed, then actuators will be operate depending on the processed data. The captured data will be displayed for monitoring in a real time manner. The monitor system was developed using GSM technology. The simulation results show that the system is more efficient in the manpower saving and raising the economic value of products. Furthermore, the developed system is simple, and easily installable.

scholarly journals Low-cost wireless sensor network applied to real-time monitoring and control of water consumption in residences

2019 ◽  
Vol 14 (6) ◽  
pp. 1
Author(s):  
Arnon Jadir Rodrigues Alves ◽  
Leandro Tiago Manera ◽  
Marcel Veloso Campos
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Water Consumption ◽  
Mobile Application ◽  
Low Cost ◽  
Wireless Sensor ◽  
Monitoring And Control ◽  
Real Time Monitoring ◽  
And Control

The objective of this work is to explore the implementation of a low-cost real-time monitoring and control of water consumption together with a user feedback interface. Water usage information will be available in a cloud storage and can be accessed through a mobile application. The collected data allows access and supervision of both client- and water concessionaire. Project feasibility is analyzed in terms of hardware and software, as well as each element required for the design. The simulations were carried out with the purpose of verifying system operation, considering the following metrics: transmission rate, signal strength and transmission quality. After the simulations, the hardware and software were integrated, and the final result was presented through a mobile application. This work presents and applies a design and development methodology of Wireless Sensor Network (WSN) using Internet of Things (IoT) technologies and Smart City in water-distribution systems.

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