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Special Issue "Sustainable Environmental Sensing Systems"

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

Deadline for manuscript submissions: 31 October 2021.

Special Issue Editors

Prof. Dr. Catia Prandi
E-Mail Website
Guest Editor
Department of Computer Science and Engineering, University of Bologna, Via Zamboni, 33, 40126 Bologna, Italy
Interests: geographical HCI; sustainable HCI; mobile HCI; social and pervasive sensing; personalized and smart mobility; crowdsourcing/crowdsensing; frugal innovation
Special Issues and Collections in MDPI journals
Prof. Dr. Pietro Manzoni
E-Mail Website
Guest Editor
Department of Computer Engineering (DISCA), Universitat Politècnica de València, 46022 Valencia, Spain
Interests: IoT; mobile networking; pub/subsystems; edge computing
Special Issues and Collections in MDPI journals
Dr. Ruidong Li
E-Mail Website
Guest Editor
National Institute of Information and Communications Technology (NICT), Tokyo, Japan
Interests: IoT; big data networking; intelligent internet edge; mobile networks

Special Issue Information

Dear Colleagues,

September 2020 will be the fifth anniversary of the launch of the United Nations 2030 Agenda, a plan for action that details the 17 Sustainable Development Goals (SDGs), where the environment underlies each of those goals—from eliminating hunger to reducing inequalities to building sustainable communities around the world.
Indeed, monitoring environmental-related conditions is fundamental to achieve the SDGs and mitigate climate change. In this context, different challenges need to be addressed, from designing and developing more sustainable, ecological, and efficient smart sensing objects that need to be energy-efficient and low-power, and able to communicate via wide-area networks, to turning to the general public for deploying such systems and crowdsourcing the collection of data using IoT and mobile sensing devices.
This Special Issue aims at presenting and showcasing the latest advances in sustainable environmental sensing systems to monitor different urban and rural conditions in order to improve people’s quality of life and reduce climate change, toward sustainable development. Sensing systems can range from dynamic (mobile) to purely static deployments.

The “Sustainable Environmental Sensing Systems” SI perfectly fits with the Sensors scope, due to the wide number and varieties of sensors exploited in such systems, sensors that need to be sustainable, to communicate in an efficient, low-consuming, and long-distance fashion, opening several challenges that still need to be investigated.

Dr. Catia Prandi
Prof. Dr. Pietro Manzoni
Dr. Ruidong Li
Guest Editors

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 2200 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 monitoring
  • pervasive sensing
  • crowdsensing
  • citizen science
  • rural IoT
  • SDGs

Published Papers (2 papers)

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Research

Article
A Fishery Water Quality Monitoring and Prediction Evaluation System for Floating UAV Based on Time Series
Sensors 2021, 21(13), 4451; https://doi.org/10.3390/s21134451 - 29 Jun 2021
Cited by 2 | Viewed by 526
Abstract
In recent years, fishery has developed rapidly. For the vital interests of the majority of fishermen, this paper makes full use of Internet of Things and air–water amphibious UAV technology to provide an integrated system that can meet the requirements of fishery water [...] Read more.
In recent years, fishery has developed rapidly. For the vital interests of the majority of fishermen, this paper makes full use of Internet of Things and air–water amphibious UAV technology to provide an integrated system that can meet the requirements of fishery water quality monitoring and prediction evaluation. To monitor target water quality in real time, the water quality monitoring of the system is mainly completed by a six-rotor floating UAV that carries water quality sensors. The GPRS module is then used to realize remote data transmission. The prediction of water quality transmission data is mainly realized by the algorithm of time series comprehensive analysis. The evaluation rules are determined according to the water quality evaluation standards to evaluate the predicted water quality data. Finally, the feasibility of the system is proved through experiments. The results show that the system can effectively evaluate fishery water quality under different weather conditions. The prediction accuracy of the pH, dissolved oxygen content, and ammonia nitrogen content of fishery water quality can reach 99%, 98%, and 99% on sunny days, and reach 92%, 98%, and 91% on rainy days. Full article
(This article belongs to the Special Issue Sustainable Environmental Sensing Systems)
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Article
Towards a Sustainable City for Cyclists: Promoting Safety through a Mobile Sensing Application
Sensors 2021, 21(6), 2116; https://doi.org/10.3390/s21062116 - 17 Mar 2021
Cited by 1 | Viewed by 474
Abstract
Riding a bicycle is a great manner to contribute to the preservation of our ecosystem. Cycling helps to reduce air pollution and traffic congestion, and so, it is one of the simplest ways to lower the environmental footprint of people. However, the cohabitation [...] Read more.
Riding a bicycle is a great manner to contribute to the preservation of our ecosystem. Cycling helps to reduce air pollution and traffic congestion, and so, it is one of the simplest ways to lower the environmental footprint of people. However, the cohabitation of cars and vulnerable road users, such as bikes, scooters, or pedestrians, is prone to cause accidents with serious consequences. In this context, technological solutions are sought that enable the generation of alerts to prevent these accidents, thereby promoting a safer city for these road users, and a cleaner environment. Alert systems based on smartphones can alleviate these situations since nearly all people carry such a device while traveling. In this work, we test the suitability of a smartphone based alert system, determining the most adequate communications architecture. Two protocols have been designed to send position and alert messages to/from a centralized server over 4G cellular networks. One of the protocols is implemented using a REST architecture on top of the HTTP protocol, and the other one is implemented over the UDP protocol. We show that the proposed alarm system is feasible regarding communication response time, and we conclude that the application should be implemented over the UDP protocol, as response times are about three times better than for the REST implementation. We tested the applications in real deployments, finding that drivers are warned of the presence of bicycles when closer than 150 m, having enough time to pay attention to the situation and drive more carefully to avoid a collision. Full article
(This article belongs to the Special Issue Sustainable Environmental Sensing Systems)
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