sensors-logo

Journal Browser

Journal Browser

Special Issue "Wireless Sensor Networks for Water and Environmental Monitoring"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 30 November 2020.

Special Issue Editor

Dr. Lorena Parra
Website
Guest Editor
Research Institute for Integrated Management of Coastal Areas (IGIC), Universitat Politècnica de València, 46022 València, Spain
Interests: water quality; wireless sensor networks; environmental monitoring; aquaculture; precision agriculture; pollution monitoring; physical sensors; chemical sensors; remote sensing
Special Issues and Collections in MDPI journals

Special Issue Information

In the era of big data and the Internet of things, wireless sensor networks are essential for generating data. The use of wireless sensor networks (WSN) for environmental monitoring can provide an excellent tool to analyze the changes and impacts caused by human activity. Even the use of WSN for water and environmental monitoring is not a new idea; we can find several gaps in the current proposals.

The current high-cost of sensors and nodes, the elevate power consumption, and the requirement of maintenance are some of the outstanding issues. Furthermore, the coexistence of several communication technologies with different characteristics (bandwidth, coverage, and power consumption) is another topic that must be addressed when designing a WSN.

This Special Issue will collect the latest advances in WSN for water and environment monitoring, including, but not limited to, design and calibration of new sensors, development of WSN for innovative applications, or performance of deployed WSN for long term monitoring.

Dr. Lorena Parra
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

  • Physical sensors
  • Chemical sensors
  • Underwater monitoring
  • Precision agriculture
  • Smart cities
  • Long-term monitoring
  • Energy efficient
  • Sensor calibration
  • WSN performance
  • Pollution monitoring
  • Ecosystems monitoring

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Open AccessArticle
Real-Time Identification of Irrigation Water Pollution Sources and Pathways with a Wireless Sensor Network and Blockchain Framework
Sensors 2020, 20(13), 3634; https://doi.org/10.3390/s20133634 - 28 Jun 2020
Abstract
Real-time identification of irrigation water pollution sources and pathways (PSP) is crucial to ensure both environmental and food safety. This study uses an integrated framework based on the Internet of Things (IoT) and the blockchain technology that incorporates a directed acyclic graph (DAG)-configured [...] Read more.
Real-time identification of irrigation water pollution sources and pathways (PSP) is crucial to ensure both environmental and food safety. This study uses an integrated framework based on the Internet of Things (IoT) and the blockchain technology that incorporates a directed acyclic graph (DAG)-configured wireless sensor network (WSN), and GIS tools for real-time water pollution source tracing. Water quality sensors were installed at monitoring stations in irrigation channel systems within the study area. Irrigation water quality data were delivered to databases via the WSN and IoT technologies. Blockchain and GIS tools were used to trace pollution at mapped irrigation units and to spatially identify upstream polluted units at irrigation intakes. A Water Quality Analysis Simulation Program (WASP) model was then used to simulate water quality by using backward propagation and identify potential pollution sources. We applied a “backward pollution source tracing” (BPST) process to successfully and rapidly identify electrical conductivity (EC) and copper (Cu2+) polluted sources and pathways in upstream irrigation water. With the BPST process, the WASP model effectively simulated EC and Cu2+ concentration data to identify likely EC and Cu2+ pollution sources. The study framework is the first application of blockchain technology for effective real-time water quality monitoring and rapid multiple PSPs identification. The pollution event data associated with the PSP are immutable. Full article
(This article belongs to the Special Issue Wireless Sensor Networks for Water and Environmental Monitoring)
Show Figures

Figure 1

Back to TopTop