Environmental Sensor Networks: Applications, Recent Advances and Challenges
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: closed (11 October 2019) | Viewed by 18722
Special Issue Editor
Interests: microelectronics; programmable devices; signal processing; sensors development; sensor networks
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Environmental sensor networks (ESNs) are an integral part of businesses, communities and government services worldwide. Data collected from ESNs support better management in agriculture, aquaculture, tourism, mining, logistics, traffic, public health and biosecurity, space weather, etc. Data from ESNs not only provide situation awareness but also necessary input for better forecasting.
As it is an expensive endeavour to deploy ESNs, which are usually designed to address a specific purpose, it has become frequent to re-purpose of data from one original application to other needs. The re-purposing of ESN data requires due care in collecting appropriate metadata, storing the data using up-to-date standards and making it accessible. Making environmental data public can be challenging, and the re-purposing of ESN data requires complete metadata. Metadata includes the design, performance indicators, QA/QC framework, frequency of readings, recordings, transmissions, history of sensor calibrations, accuracy of sensors, who was responsible for the deployment, georeferenced data (in stationary or mobile sensor assets), algorithms applied to process data and their dependencies, acknowledgement rules, associated observing systems, etc.
The aim of this Special Issue is to collect original research papers or review articles in the forefront of knowledge in the area, and to be the main source of references about the state-of-the-art in environmental sensor networks.
Prof. Dr. Paulo de Souza
Guest Editor
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Keywords
- Environmental sensor networks (ESN)
- Best practices in the deployment of ESN
- Observing systems
- Sensor-model integration
- ESN and robots
- Mobile platforms
- Applications on Earth and in space
- Data formats, metadata and repositories
- Quality assurance and quality control (QA/QC)
- Management of uncertainties in ESN
- Design of environmental sensor networks
- Observing systems
- New technologies for the visualisation of ESN data
- ESN as IoT assets
- Current trends, challenges and reviews
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