Special Issue "Wireless Sensor Network for Air Quality Monitoring and Control"
Deadline for manuscript submissions: 15 July 2019
Dr. Jesús Lozano
Escuela de Ingenierías Industriales. Universidad de Extremadura. Av. Elvas s/n. Badajoz, Spain
Dr. Saverio De Vito
Dr. José Pedro Santos
Nanosensors and Intelligent System group (NoySI), Instituto de Tecnologías Físicas y de la Información ITEFI-CSIC, 28006 Madrid, Spain
Interests: chemical sensors, nanotechnology, graphene; sensor networks; air quality; electronic noses
Air pollution is one of the most serious problems in the world. It refers to the contamination of the atmosphere by harmful chemicals or biological materials. There is a need to implement air quality management plans to ensure compliance with the pollution limits established by governments and institutions, so to improve air quality and reduce the severe health impacts causing millions of deaths worldwide. The task of air quality monitoring (AQM) are performed in most cases by reference stations in urban areas, which are costly, bulky and of complex operation and hence not suited for applications where ubiquity and low consumption are required. In addition, spatial and temporal resolution measurements of the order of one meter and one minute respectively are required to determine the actual exposure of each individual to pollution. Exposomics is currently a hot topic, and enhancing our knowledge of it will positively impact on the efficacy and efficiency of our public health systems.
In the field of odors and air quality, some citizens with simple and readily available equipment are increasingly engaged in collecting and processing heterogeneous data, which have traditionally been collected by authorized sources. The development of smart measuring devices with high accuracy, small size, low cost and high granularity can complement and/or in some cases replace official networks in their attempt to measure ambient air quality, but with a greater number of measuring points. In this sense, wireless sensor networks (WSN) play a fundamental role in this approach. The integration of low-cost detection capabilities, machine learning and wireless networking provides the core component of the WSN concept, which foresees a large number of autonomous sensors, known as "specks", working together to monitor different parameters. In its latest manifestation, the integration of WSNs into the emerging IoT and fog computing realm would move to the "Internet scale", with intelligent sensors from different WSNs collaborating to provide new services over networks that are in turn linked over large areas using the common Internet communications infrastructure.
In addition, novel gas sensors with improved features in terms of their ability to sense and sensitivity to pollutant gases, and other features, such as size and consumption, are required for their use in WSNs. In this sense, new materials and nanostructures are postulated as an important direction to explore. On the other hand, signal and data processing are essential elements in gas sensor-based detection systems and networks for the identification (classification) of chemical compounds and the estimation (regression) of the concentration and/or clustering of similar compounds (clustering). Methods should be developed to enhance drift compensation, changes in the measurement environment or sampling conditions, sensor switching or calibration between devices and compensation of the response due to moisture or other interferences.
The aim of this Special Issue is to contribute to the state-of-the-art and present current applications of wireless sensor networks for AQM. This Special Issue welcomes new research results from academia and industry. The Special Issue topics include, but are not limited to:
- Architectures of gas sensor networks
- Devices for citizen measurements
- Electronics for sensor motes
- Smart sensors
- Novel gas sensors
- Sensor data fusion
- Artificial intelligence and deep learning for data processing
- Prediction and classification from sensor data
- Applications of sensor networks for air quality monitoring
Dr. Jesús Lozano
Dr. Saverio De Vito
Dr. José Pedro Santos
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Internet of Things
- Air quality monitoring
- Wireless sensor networks
- Portable gas and particle detectors
- Communications systems
- Gas sensors
- Data and signal processing