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Electronics
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Electronics Devices and WSN for Precision Agriculture and Smart Cities
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Electronics Devices and WSN for Precision Agriculture and Smart Cities

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (30 April 2020) | Viewed by 18377

Special Issue Editors

Prof. Dr. Carlos Serôdio

E-Mail Website
Guest Editor
Department of Engineering, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal
Interests: wireless sensors networks; precision agriculture; smart cities; indoor localization using wireless networks; 5G & 6G ecosystem to support IoE
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Pedro Mestre

E-Mail Website
Guest Editor
Universidade de Trás-os-Montes e Alto Douro, Portugal
Interests: WSN; precision agriculture; smart cities; indoor localization; soft computing

Special Issue Information

Dear Colleagues,

Recent advances in manufacturing, beyond miniaturization, computational power, low power consumption, and low cost of wireless sensors have turned WSNs (Wireless Sensor Networks) into almost consumer electronic products, extending their field of application to solutions like home automation, academic or industrial applications, under the umbrella of IoT (Internet-of-Things), through integration and interoperation of novel approaches and abstraction levels, from Edge Computing to Cloud and Data Analysis/Analytics.

PA (Precision Agriculture), also known as Smart Agriculture/Farming, is a business segment that has much to gain from using this kind of concepts aided by intelligent/expert decision support devices/systems to accomplish the aim of obtaining higher production efficiency, sustainable profitability, better quality and added-value products, and more bio-nature, while minimizing environmental impacts. The use of these technological advances in electronic devices/systems combines with crop, soil, moisture and water stress data, and georeferenced information, based on remote and distributed WSNs supported by IoT architecture and approaches, to support real-time monitoring and control solutions that can be part of the a next-generation of WSNs to make PA a more efficient and sustainable agriculture.

The inclusion of paradigms like UC (ubiquitous computing), perceptual sensing, and context-awareness could transform IoT into Internet of People (IoP), also enhancing its application in the area of development of environments and applications for smart cities, allowing novel technological solutions related to ITS (intelligent transportation system), Energy grids could be developed regarding monitoring, control, and management of infrastructures, as well as also to help solve societal problems like healthcare and in the area of gerontology.

This Special Issue expects innovative and unpublished original research work to accomplish the new technological and societal challenges related to the theme of “Electronics Devices and WSN for Precision Agriculture and Smart Cities”.

The particular topics of interest include but are not limited to:

  • Hardware systems for IoT;
  • New applications of IoT for precision agriculture/smart cities;
  • Operating systems for IoT;
  • Cloud services for IoT for precision agriculture/smart cities;
  • New sensors;
  • New sensor applications;
  • Distributed sensor fusion;
  • Wireless sensor networks, Internet of Things, big data in Precision Agriculture/smart cities;
  • Low-power, energy efficiency, and energy-harvesting in Precision Agriculture/smart cities.

Prof. Dr. Carlos Serodio
Prof. Dr. Pedro Mestre
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 submissions that pass pre-check are 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. Electronics 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 2400 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.

Published Papers (3 papers)

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Research

18 pages, 1409 KiB  
Article
Low-Cost LoRaWAN Node for Agro-Intelligence IoT
by Antonio Valente, Sérgio Silva, Diogo Duarte, Filipe Cabral Pinto and Salviano Soares
Electronics 2020, 9(6), 987; https://doi.org/10.3390/electronics9060987 - 12 Jun 2020
Cited by 30 | Viewed by 6788
Abstract
Intelligent agriculture in general, but especially when agricultural fields are very heterogeneous, requires a large number of sensors in order to obtain an effective control and thus increase productivity. This need becomes more evident in vineyards on the farms of the demarcated Douro [...] Read more.
Intelligent agriculture in general, but especially when agricultural fields are very heterogeneous, requires a large number of sensors in order to obtain an effective control and thus increase productivity. This need becomes more evident in vineyards on the farms of the demarcated Douro region due to the specificities of the territory and the vineyards themselves. Thus, it is necessary to have low cost sensors which are, essentially, easy to install and maintain. In the present work, a node with these characteristics was developed, which, in addition, is low consumption and communicates wirelessly through a Long Rang Wide Area Network (LoRaWAN) network. To obtain an easy installation, a library of clusters was created for the LoRaWAN network and dedicated to sensors used in agriculture, especially those using an asynchronous serial protocol for intelligent sensors. Three nodes were developed and tested with sensors used in agriculture to measure several environmental parameters (soil and air temperature; wind speed, gust and direction; soil water content, water tension and electrical conductivity; solar radiation; precipitation; atmospheric and vapor pressure; relative humidity; and lightning strikes count). The three nodes send data to a server through an existing gateway on the farm. The data are decoded and sent to an Internet-of-Things analytics platform where it is aggregated, viewed and analyzed. Samples of the data collected are presented. The developed nodes are of small dimensions ( 85 × 65 × 35 m m ), thus making them easy to handle and install. Energy consumption depends on the distance to the gateway, and the number and type of sensors connected to each node. In the implemented cases, the maximum consumption was ≈ 400 μ A . The development of a cluster based library makes the node plug-and-play. The developed nodes will be a great step forward for the use of wireless sensors in smart agriculture in Douro vineyards. Full article
(This article belongs to the Special Issue Electronics Devices and WSN for Precision Agriculture and Smart Cities)
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16 pages, 5117 KiB  
Article
Wireless Sensor Network for Ignitions Detection: An IoT approach
by Thadeu Brito, Ana I. Pereira, José Lima and António Valente
Electronics 2020, 9(6), 893; https://doi.org/10.3390/electronics9060893 - 27 May 2020
Cited by 33 | Viewed by 6130
Abstract
Wireless Sensor Networks (WSN) can be used to acquire environmental variables useful for decision-making, such as agriculture and forestry. Installing a WSN on the forest will allow the acquisition of ecological variables of high importance on risk analysis and fire detection. The presented [...] Read more.
Wireless Sensor Networks (WSN) can be used to acquire environmental variables useful for decision-making, such as agriculture and forestry. Installing a WSN on the forest will allow the acquisition of ecological variables of high importance on risk analysis and fire detection. The presented paper addresses two types of WSN developed modules that can be used on the forest to detect fire ignitions using LoRaWAN to establish the communication between the nodes and a central system. The collaboration between these modules generate a heterogeneous WSN; for this reason, both are designed to complement each other. The first module, the HTW, has sensors that acquire data on a wide scale in the target region, such as air temperature and humidity, solar radiation, barometric pressure, among others (can be expanded). The second, the 5FTH, has a set of sensors with point data acquisition, such as flame ignition, humidity, and temperature. To test HTW and 5FTH, a LoRaWAN communication based on the Lorix One gateway is used, demonstrating the acquisition and transmission of forest data (simulation and real cases). Even in internal or external environments, these results allow validating the developed modules. Therefore, they can assist authorities in fighting wildfire and forest surveillance systems in decision-making. Full article
(This article belongs to the Special Issue Electronics Devices and WSN for Precision Agriculture and Smart Cities)
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21 pages, 637 KiB  
Article
The Future of Low-End Motes in the Internet of Things: A Prospective Paper
by Daniel Oliveira, Miguel Costa, Sandro Pinto and Tiago Gomes
Electronics 2020, 9(1), 111; https://doi.org/10.3390/electronics9010111 - 7 Jan 2020
Cited by 13 | Viewed by 5065
Abstract
Undeniably, the Internet of Things (IoT) ecosystem continues to evolve at a breakneck pace, exceeding all growth expectations and ubiquity barriers. From sensor to cloud, this giant network keeps breaking technological bounds in several domains, and wireless sensor nodes (motes) are expected to [...] Read more.
Undeniably, the Internet of Things (IoT) ecosystem continues to evolve at a breakneck pace, exceeding all growth expectations and ubiquity barriers. From sensor to cloud, this giant network keeps breaking technological bounds in several domains, and wireless sensor nodes (motes) are expected to be predominant as the number of IoT devices grows towards the trillions. However, their future in the IoT ecosystem still seems foggy, where several challenges, such as (i) device’s connectivity, (ii) intelligence at the edge, (iii) security and privacy concerns, and (iv) growing energy needs, keep pulling in opposite directions. This prospective paper offers a succinct and forward-looking review of recent trends, challenges, and state-of-the-art solutions of low-end IoT motes, where reconfigurable computing technology plays a key role in tomorrow’s IoT devices. Full article
(This article belongs to the Special Issue Electronics Devices and WSN for Precision Agriculture and Smart Cities)
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