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Special Issue "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).

Special Issue Editor

Prof. Dr. Paulo de Souza
Website
Guest Editor
School of Information and Communication Technology, Griffith University, Nathan, QLD 4111, Australia
Interests: environmental sensor networks; sensors and sensor networks design; spectroscopy; pattern recognition; scientific instrumentation; sensor-model integration; ASIC-design; MEMS-based energy harvesting; biosensing, space payloads

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

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 2000 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.

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

Published Papers (1 paper)

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Review

Open AccessReview
Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review
Sensors 2019, 19(22), 5012; https://doi.org/10.3390/s19225012 - 16 Nov 2019
Cited by 3
Abstract
Floods are amongst the most common and devastating of all natural hazards. The alarming number of flood-related deaths and financial losses suffered annually across the world call for improved response to flood risks. Interestingly, the last decade has presented great opportunities with a [...] Read more.
Floods are amongst the most common and devastating of all natural hazards. The alarming number of flood-related deaths and financial losses suffered annually across the world call for improved response to flood risks. Interestingly, the last decade has presented great opportunities with a series of scholarly activities exploring how camera images and wireless sensor data from Internet-of-Things (IoT) networks can improve flood management. This paper presents a systematic review of the literature regarding IoT-based sensors and computer vision applications in flood monitoring and mapping. The paper contributes by highlighting the main computer vision techniques and IoT sensor approaches utilised in the literature for real-time flood monitoring, flood modelling, mapping and early warning systems including the estimation of water level. The paper further contributes by providing recommendations for future research. In particular, the study recommends ways in which computer vision and IoT sensor techniques can be harnessed to better monitor and manage coastal lagoons—an aspect that is under-explored in the literature. Full article
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