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The Internet of Things: Sensing Applications and Developments
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The Internet of Things: Sensing Applications and Developments

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

Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 2215

Special Issue Editors

Dr. Awais Ahmad

E-Mail Website
Guest Editor
College of Computer and Information Science, Imam Muhammad Ibn Saud Islamic University, Riyadh 13318, Saudi Arabia
Interests: data fusion; data integration; big data analytics and wireless sensor network
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Abdellah Chehri

E-Mail Website
Guest Editor
Department of Mathematics and Computer Science, Royal Military College of Canada, Kingston, ON, Canada
Interests: wireless communications; internet of things; big data, data analytics/AI/ML; cloud/fog/edge computing and networking; 5G/6G and next-generation networks; smart cities and public safety technology
Special Issues, Collections and Topics in MDPI journals
Dr. Gwanggil Jeon

E-Mail Website
Guest Editor
Department of Embedded Systems Engineering, Incheon National University, 119 Academy-ro, Yeonsu-gu, Incheon 22012, Republic of Korea
Interests: remote sensing; deep learning; artificial intelligence; image processing; signal processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The "Internet of Things (IoT)" has experienced substantial growth around the globe. The various applications of IoT include smart and urban cities, wearable health monitoring devices, smart homes and buildings, smart cars, environment monitoring, intelligent border security, and logistics support. The IoT proposes numerous smart objects, such as sensors, actuators, embedded systems, and other similar items, that are prevalent in their surroundings. Ubiquitous connections, falling prices for smart devices, and a high demand for data all testify to the IoT's continued rapid expansion. On the basis of the IoT paradigm, numerous sectors are redesigning their business models. However, how well the IoT is deployed will be determined by the development of several problem solutions.  

Various IoT environment faces multiple constraints, such as erratic connection, privacy, trust issues, data analysis, or lengthy round-trip durations. Multiple research projects are being conducted to address these challenges and develop advanced IoT ecosystems. The objective is to allow the next generation of IoT applications, which have semi-autonomous behavior, which develops while keeping humans informed and involved as a key component of the system.

The special issue's goal is to compile reviews and contributions on cutting-edge scientific and technical techniques, best practices, and innovations related to IoT sensors for sensing, applications, and developments. Through the creation of a large collection of articles showcasing recent advancements, fresh experiences, and innovative ideas, this special issue aims to cultivate and gather knowledge in this context for the benefit of industrial practice and research.

Relevant topics include:

  • Scalable IoT architectures, including semantic interoperability and the
  • IoT Standards, sensing, applications, and development.
  • Networking Technologies for IoT.
  • IoT-based Fog - Cloud Interactions and Enabling Protocols.
  • Latest IoT communication technologies and p
  • Edge Artificial Intelligence and edge computing applications and technologies.
  • IoT Architecture design, interoperability, and technologies.
  • Future communication technologies (Future Internet; Wireless Sensor Networks; Web-services, 5G, 4G, LTE, LTE-Advanced; WLAN, WPAN; Small cell Networks…) for IoT, Intelligent Internet Communication.
  • Data Analytics for IoT.
  • Safety, Security, and Privacy Risks and Guarantees in IoT and Cyber-Physical Systems.
  • IoT-based Digital Twins and Inter-Realities.
  • Artificial Intelligence and IoT.
  • Real-world IoT deployments, Testbeds and Datasets.
  • Novel IoT Applications for Environmental Sensing and Disaster Response.
  • Trust in IoT based Fog, Cloud infrastructures
  • Data integrity in IoT based Systems

Dr. Awais Ahmad
Prof. Dr. Abdellah Chehri
Dr. Gwanggil Jeon
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. 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 2600 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 (2 papers)

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Research

23 pages, 5653 KiB  
Article
LoRa Technology Propagation Models for IoT Network Planning in the Amazon Regions
by Wirlan G. Lima, Andreia V. R. Lopes, Caio M. M. Cardoso, Jasmine P. L. Araújo, Miércio C. A. Neto, Maria E. L. Tostes, Andréia A. Nascimento, Mauricio Rodriguez and Fabrício J. B. Barros
Sensors 2024, 24(5), 1621; https://doi.org/10.3390/s24051621 - 01 Mar 2024
Viewed by 806
Abstract
Designing and deploying telecommunications and broadcasting networks in the challenging terrain of the Amazon region pose significant obstacles due to its unique morphological characteristics. Within low-power wide-area networks (LPWANs), this research study introduces a comprehensive approach to modeling large-scale propagation loss channels specific [...] Read more.
Designing and deploying telecommunications and broadcasting networks in the challenging terrain of the Amazon region pose significant obstacles due to its unique morphological characteristics. Within low-power wide-area networks (LPWANs), this research study introduces a comprehensive approach to modeling large-scale propagation loss channels specific to the LoRaWAN protocol operating at 915 MHz. The objective of this study is to facilitate the planning of Internet of Things (IoT) networks in riverside communities while accounting for the mobility of end nodes. We conducted extensive measurement campaigns along the banks of Universidade Federal do Pará, capturing received signal strength indication (RSSI), signal-to-noise ratio (SNR), and geolocated point data across various spreading factors. We fitted the empirical close-in (CI) and floating intercept (FI) propagation models for uplink path loss prediction and compared them with the Okumura–Hata model. We also present a new model for path loss with dense vegetation. Furthermore, we calculated received packet rate statistics between communication links to assess channel quality for the LoRa physical layer (PHY). Remarkably, both CI and FI models exhibited similar behaviors, with the newly proposed model demonstrating enhanced accuracy in estimating radio loss within densely vegetated scenarios, boasting lower root mean square error (RMSE) values than the Okumura–Hata model, particularly for spreading factor 9 (SF9). The radius coverage threshold, accounting for node mobility, was 945 m. This comprehensive analysis contributes valuable insights for the effective deployment and optimization of LoRa-based IoT networks in the intricate environmental conditions of the Amazon region. Full article
(This article belongs to the Special Issue The Internet of Things: Sensing Applications and Developments)
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16 pages, 19616 KiB  
Article
Development of Low-Cost IoT System for Monitoring Piezometric Level and Temperature of Groundwater
by Mauro Espinoza Ortiz, Juan Pablo Apún Molina, Salvador Isidro Belmonte Jiménez, Jaime Herrera Barrientos, Héctor José Peinado Guevara and Apolinar Santamaria Miranda
Sensors 2023, 23(23), 9364; https://doi.org/10.3390/s23239364 - 23 Nov 2023
Viewed by 862
Abstract
Rural communities in Mexico and other countries with limited economic resources require a low-cost measurement system for the piezometric level and temperature of groundwater for their sustainable management, since anthropogenic action (pumping extractions), natural recharge and climate change phenomena affect the behavior of [...] Read more.
Rural communities in Mexico and other countries with limited economic resources require a low-cost measurement system for the piezometric level and temperature of groundwater for their sustainable management, since anthropogenic action (pumping extractions), natural recharge and climate change phenomena affect the behavior of piezometric levels in the aquifer and its sustainability is at risk. Decrease in the piezometric level under a balanced level promotes salt intrusion from ocean water to the aquifer, salinizing and deteriorating the water quality for agriculture and other activities; and a decrease in water level under the pumps or well drilling depth could deprive communities of water. Water temperature monitoring is essential to determine electric conductivity and dissolved salt content in groundwater. Using IoT technology, a device was developed that monitors both variables inside the well, and the ambient temperature and atmospheric pressure outside the well. The measurements are made in real time, with sampling every second and sending data to a dedicated server every 15 min so that the visualization can be accessed through a device with Internet access. The time series of the variables measured inside and outside the well were obtained over a period of three months in the rural community of Agua Blanca, Guasave, Sinaloa, Mexico. Through these records, a progressive temporary drawdown of the piezometric level is observed, as well as the frequency of pumping. This low-cost IoT system shows potential use in hydrological processes of interest such as the separation of regional and local flow, drawdown rates and recognition of geohydrological parameters. Full article
(This article belongs to the Special Issue The Internet of Things: Sensing Applications and Developments)
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