Design and Development of Low-cost Wireless Sensor Device for Air Quality Networks

Author(s):  
Anamika Sharma ◽  
Brijesh Mishra ◽  
Ronak Sutaria ◽  
Rajesh Zele
Author(s):  
Chaitra HV ◽  
Dr. Ravikumar G.K

<p>Wireless sensor has attained wide interest across various industries due to availability of low cost sensor device. Preserving battery/energy of these sensor device is most desired. Recently, many approaches has been presented to improve lifetime of sensor network adopting clustering technique. Cluster head selection play an important factor in improving lifetime of cluster based network. For improving cluster head selection multi-objective function are presented in recent time by adopting evolutionary computing and metaheuristic algorithm. However, the existing model incurs computation overhead due to NP-Hard problem and connectivity issues is not considered. Thus affecting network performance. To address the research issues, this work present a novel Multi-objective imperialist competitive algorithm (MOICA) for cluster head selection and routing optimization. Experiment are conducted to evaluate the performance of MOICA over LEACH in term of lifetime performance considering first sensor node death and 75% sensor node death. The outcome shows MOICA achieves significance improvement over LEACH based protocols. </p>


2018 ◽  
Vol 1065 ◽  
pp. 192004 ◽  
Author(s):  
M Carratù ◽  
M Ferro ◽  
A Pietrosanto ◽  
P Sommella

Atmosphere ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1246
Author(s):  
Georgios C. Spyropoulos ◽  
Panagiotis T. Nastos ◽  
Konstantinos P. Moustris

Significant portions of European cities’ population are still exposed to levels of air pollution deemed harmful by the World Health Organization. Given the high impact of air pollution both on human health and the economy, numerous low-cost electrochemical sensor monitoring systems are being installed. The market is forced to develop new air quality monitoring systems to meet the needs of providing forecasting services based on advanced technologies and protocols that utilize certain characteristics such as high accuracy, real-time monitoring, daily and yearly statistics, data access from both experts and simple users with the use of low-cost equipment. In this study, conducted in Athens, Greece, a comparison is attempted between the findings from a low-cost electrochemical sensor device and those of a static, fixed site measurement monitoring station; this comparison is based on the data quality and Air Quality Index (AQI) concerning data accuracy and quality on adverse health effects due to air pollution. With regard to the prediction of different AQI intervals, TPR ranges from 35.2% up to 100.0%, FPR from 0.0% up to 36.1% and FNR from 0.0% up to 38.1%. The outcome of this study reveals flexible and affordable alternatives adopted during the evaluation and calibration of low-cost gas sensors for monitoring.


Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 691 ◽  
Author(s):  
Patricia Arroyo ◽  
José Herrero ◽  
José Suárez ◽  
Jesús Lozano

Low-cost air pollution wireless sensors are emerging in densely distributed networks that provide more spatial resolution than typical traditional systems for monitoring ambient air quality. This paper presents an air quality measurement system that is composed of a distributed sensor network connected to a cloud system forming a wireless sensor network (WSN). Sensor nodes are based on low-power ZigBee motes, and transmit field measurement data to the cloud through a gateway. An optimized cloud computing system has been implemented to store, monitor, process, and visualize the data received from the sensor network. Data processing and analysis is performed in the cloud by applying artificial intelligence techniques to optimize the detection of compounds and contaminants. This proposed system is a low-cost, low-size, and low-power consumption method that can greatly enhance the efficiency of air quality measurements, since a great number of nodes could be deployed and provide relevant information for air quality distribution in different areas. Finally, a laboratory case study demonstrates the applicability of the proposed system for the detection of some common volatile organic compounds, including: benzene, toluene, ethylbenzene, and xylene. Principal component analysis, a multilayer perceptron with backpropagation learning algorithm, and support vector machine have been applied for data processing. The results obtained suggest good performance in discriminating and quantifying the concentration of the volatile organic compounds.


2016 ◽  
Vol 12 (11) ◽  
pp. 76
Author(s):  
Xiaoguang Zhang ◽  
Yijie Zhao ◽  
Wei Zhao ◽  
Wei-wei Xu ◽  
Wen-chao Ji

<p class="Abstract"><span lang="EN-US">A system for monitoring library air quality by using the emerging technology of Wireless Sensor Networks (WSN) was proposed. Wireless sensor networks can sense and collect data, as well as carry out a real-time monitoring of various environmental parameters, and send data to the end user. Simulation results prove that the proposed system is a power-saving, low-cost and easy-to-use monitoring system, which is efficient enough to be used as a reliable library air quality (LAQ) monitor.</span></p>


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