The environment consists of the interaction between the physical, biotic, and anthropic means. As this interaction is dynamic, environmental characteristics tend to change naturally over time, requiring continuous monitoring. In this scenario, the internet of things (IoT), together with traditional sensor networks, allows for the monitoring of various environmental aspects such as air, water, atmospheric, and soil conditions, and sending data to different users and remote applications. This paper proposes a Standard-based Internet of Things Platform and Data Flow Modeling for Smart Environmental Monitoring. The platform consists of an IoT network based on the IEEE 1451 standard which has the network capable application processor (NCAP) node (coordinator) and multiple wireless transducers interface module (WTIM) nodes. A WTIM node consists of one or more transducers, a data transfer interface and a processing unit. Thus, with the developed network, it is possible to collect environmental data at different points within a city landscape, to perform analysis of the communication distance between the WTIM nodes, and monitor the number of bytes transferred according to each network node. In addition, a dynamic model of data flow is proposed where the performance of the NCAP and WTIM nodes are described through state variables, relating directly to the information exchange dynamics between the communicating nodes in the mesh network. The modeling results showed stability in the network. Such stability means that the network has capacity of preserve its flow of information, for a long period of time, without loss frames or packets due to congestion.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234585 | PMC |
| http://dx.doi.org/10.3390/s21124228 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
FMCW-based contactless heart rate monitoring.
Sci Rep
January 2025
College of Computer Science and Engineering, Northwest Normal University, Lanzhou, 730070, Gansu, China.
Heart disease is a significant global health issue. Traditional methods for heart rate monitoring typically require close physical contact, which limits the continuity and convenience of monitoring. To achieve real-time, non-contact heartbeat monitoring, researchers have introduced millimeter-wave radar technology.
View Article and Find Full Text PDFA novel IoT-based approach using fractional fuzzy Hamacher aggregation operators application in revolutionizing healthcare selection.
Sci Rep
January 2025
Department of Management Information Systems, Faculty of Economics and Administration, King Abdulaziz University, Jeddah, Saudi Arabia.
In the current era, IoT-based healthcare solutions play a pivotal role in transforming the healthcare landscape by addressing key challenges and significantly enhancing the quality, accessibility, and efficiency of medical services, particularly for individuals in remote areas. This paper introduces innovative operations on fractional fuzzy sets (FFS), specifically the Hamacher sum and product, and establishes corresponding operational laws. Building upon these foundations, we propose novel aggregation operators (AoPs) leveraging Hamacher norms and rigorously analyze their properties within the FFS framework.
View Article and Find Full Text PDFOptimal bandgap of a single-junction photovoltaic cell for the mobile Internet-of-Things.
iScience
January 2025
Institute of Physics and Applied Computer Science, Faculty of Applied Physics and Mathematics, Gdansk University of Technology, ul. G. Narutowicza 11/12, 80-233 Gdańsk, Poland.
The procedure for determining the maximum power of a single-junction photovoltaic cell operating in various types of lighting is presented. This is a key issue for photovoltaics powering the mobile Internet-of-Things (IoT). The simulations performed are based on the detailed balance principle, without any of the simplifying assumptions included in the Shockley-Queisser model.
View Article and Find Full Text PDFHuman and digital ecosystems in the modern household.
Front Psychol
January 2025
PaCT Lab, Northumbria University, Newcastle upon Tyne, United Kingdom.
Despite a growing number of studies describing the digital ecosystems of the home, few have explored the human component of this ecosystem and fewer have accounted for household and relationship diversity. We asked the inhabitants of nine households to share images of their digital devices and then interviewed them about how the technology was distributed and used, what roles they adopted in relation to the different devices and what boundaries or rules they set up to manage joint use. Following a thematic analysis, we describe (i) the digital components of the ecosystem and their use; (ii) the humans in the ecosystem and their relationships with technology and with each other, and (iii) interconnectedness in terms of joint use and self- or other-imposed restrictions.
View Article and Find Full Text PDFAgriculture data sharing review.
Heliyon
January 2025
Universitat de Lleida, Carrer Jaume II, 69, Lleida 25001, Spain.
This study conducts a bibliometric analysis of 252 scientific publications from 2001 to 2023, exploring the evolution and emerging trends in agricultural data spaces. Analyzing articles from the Web of Science and Scopus databases, we address six research questions: the current and interconnected key topics in agricultural data spaces (RQ1), the evolution of research themes over time (RQ2), emerging trends in the field (RQ3), the identification of leading researchers (RQ4), and the primary funding sources for this research area (RQ5), the relationship among research data and small farmers (RQ6). Our findings reveal a shift from traditional to innovative research themes, such as the increasing focus on the Internet of Things (IoT), Blockchain, and Digital Storage.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!