Article
Chemistry, Analytical
Matteo Bertocco, Stefano Parrino, Giacomo Peruzzi, Alessandro Pozzebon
Summary: This paper proposes an augmented sensing method for estimating volumetric water content (VWC) in soil for Internet of Underground Things (IoUT) applications. The system utilizes an IoUT sensor node with a low-cost, low-precision soil moisture sensor and a LoRaWAN transceiver to transmit relative measurements. VWC estimation is achieved by combining readings from the soil moisture sensor with RSSI values measured at the LoRaWAN gateway using machine learning algorithms. The findings demonstrate that the augmented sensor outperforms virtual and calibrated real sensors, with an RMSE of 1.84% (or 1.53% with post-processing filtering).
Article
Computer Science, Information Systems
Mohammad Reza Ghaderi, Nasrin Amiri
Summary: With the increasing growth of IoT, energy consumption efficiency has become crucial for sensor networks. This article presents a comprehensive model for analyzing and estimating energy consumption in sensor nodes based on LoRa/LoRaWAN technologies.
Article
Computer Science, Information Systems
Alan A. Helal, Rodolfo S. Villaca, Celso A. S. Santos, Roberto Colistete
Summary: This article presents LimnoStation, a low-cost integrated hardware and software solution that employs IoT concepts with LoRaWan. It provides online access and low-power consumption for monitoring environmental and oceanographic data, and has been proven to be reliable and cost-effective through testing.
INTERNET OF THINGS
(2022)
Article
Computer Science, Information Systems
Babak Arbab-Zavar, Emilio J. Palacios-Garcia, Juan C. Vasquez, Josep M. Guerrero
Summary: This study explores the integration of LPWAN technology, particularly LoRaWAN, into smart inverter control architectures for remote microgrids. A point-by-point LoRa architecture is proposed and experimentally evaluated for effectiveness in grid-feeding control. The study offers insights into a hybrid communication system that can effectively manage remote residential microgrids.
Article
Computer Science, Information Systems
Antonino Pagano, Daniele Croce, Ilenia Tinnirello, Gianpaolo Vitale
Summary: This article provides a survey on the adoption of LoRa in the agricultural field and reviews state-of-the-art solutions for smart agriculture, analyzing the potential of this technology in different infield applications. It discusses four reference scenarios, including irrigation systems, plantation and crop monitoring, tree monitoring, and livestock monitoring, and analyzes the scalability, interoperability, network architecture, and energy efficiency of LoRa-based solutions in these scenarios. It also presents possible future research directions and points out open issues for further exploration in the next years.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Mukarram A. M. Almuhaya, Waheb A. Jabbar, Noorazliza Sulaiman, Suliman Abdulmalek
Summary: This paper provides a comparative review of five driving LPWAN technologies and finds that LoRa/LoRaWAN and SigFox outperform other technologies in terms of device lifetime, network capacity, adaptive data rate, and cost. NB-IoT technology excels in latency and quality of service. The paper also presents a technical overview of LoRa/LoRaWAN technology, introduces various simulation tools for analyzing its network performance, and classifies recent efforts to improve its energy consumption, data extraction rate, scalability, coverage, quality of service, and security.
Article
Chemistry, Analytical
Sebastien Maudet, Guillaume Andrieux, Romain Chevillon, Jean-Francois Diouris
Summary: LPWAN technologies such as LoRa are widely used for IoT applications requiring wide coverage and low energy consumption. Optimizing energy consumption models based on in-situ measurements is crucial for minimizing maintenance costs, especially as existing models often do not consider LoRaWAN protocol specifications. Research indicates that the number of nodes in a LoRaWAN network impacts energy consumption and limits the number of sensors that can be integrated due to collision probability.
Article
Computer Science, Information Systems
Anshul Sharma, Divneet Singh Kapoor, Anand Nayyar, Basit Qureshi, Kiran Jot Singh, Khushal Thakur
Summary: The evaluation of LoRaWAN protocol in forest environment for IoT communication shows that transmission can reach up to 300 meters with significantly reduced energy consumption and high packet reception rate. The study focuses on analyzing the relationship between distance, SNR, PRR and RSSI in LoRa wireless communication, aiming to estimate network lifetime and performance level under specific parameters.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Chemistry, Analytical
Visnja Krizanovic, Kresimir Grgic, Josip Spisic, Drago Zagar
Summary: This paper provides an overview of the latest research progress on wireless sensor networks based on LoRa. It analyzes the energy consumption of sensor nodes used in agriculture and proposes optimization methods for energy consumption. The study finds that adjusting the transmission speed and packet size is crucial for improving energy efficiency.
Article
Chemistry, Analytical
Jaime Lloret, Sandra Sendra, Laura Garcia, Jose M. Jimenez
Summary: The use of precision agriculture is increasingly necessary to provide food for the growing population and reduce environmental impact. This paper introduces a low-cost wireless sensor network for soil moisture that helps farmers optimize irrigation processes in precision agriculture.
Article
Computer Science, Information Systems
Mohamed Saban, Silvia Casans-Berga, Rafael Garcia-Gil, A. Edith Navarro-Anton, Otman Aghzout, Alfredo Rosado-Munoz
Summary: This article introduces a smart building IoT system based on LoRa and LoRaWAN, aimed at monitoring the moisture of wood in cultural heritage buildings. The system utilizes a novel resistance measurement method for the moisture sensor and LoRa communication module to provide remote visualization and control, suitable for early detection of wood moisture issues.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Husam Rajab, Tibor Cinkler, Taoufik Bouguera
Summary: This paper introduces a method for calculating collision rates and packet loss rates in LPWAN networks, and proposes two algorithms to address scalability issues in LoRa networks and reduce collision probabilities. It also takes into account dense deployment of IoT devices and low power consumption requirements.
Review
Chemistry, Analytical
Sadiq Idris, Thenuka Karunathilake, Anna Foerster
Summary: This paper investigates the use of IoT and WSNs simulators and evaluates their performance under LoRa communication technology. It categorizes and analyzes available simulation tools systematically and provides an overview of LoRa/LoRaWAN technology as well as three popular open-source simulation tools.
Article
Chemistry, Analytical
Radek Fujdiak, Konstantin Mikhaylov, Jan Pospisil, Ales Povalac, Jiri Misurec
Summary: This paper explores the characteristics of LoRaWAN technology in supporting both public and private network deployments and compares their performance, aiming to assist in selecting the optimal deployment option.
Article
Chemistry, Analytical
Edgar Fabian Rivera Guzman, Edison David Manay Chochos, Mauricio Danilo Chiliquinga Malliquinga, Paul Francisco Baldeon Egas, Renato Mauricio Toasa Guachi
Summary: This article discusses the implementation of a LoRa-based agricultural monitoring system in the Andean region of Ecuador. The system utilizes LoRa network to analyze climatic parameters and remotely control the crops. The research shows that the LoRa network performs well in mountainous areas above 2910 m.a.s.l., providing coverage and transmission capabilities for farmers to make timely decisions in agricultural production.
Article
Environmental Sciences
Ammar A. Albalasmeh, Mamoun A. Gharaibeh, Ma'in Z. Alghzawi, Renato Morbidelli, Carla Saltalippi, Teamrat A. Ghezzehei, Alessia Flammini
Article
Environmental Sciences
Amanda P. Garcia-Marin, Javier Estevez, Renato Morbidelli, Carla Saltalippi, Jose Luis Ayuso-Munoz, Alessia Flammini
Article
Environmental Sciences
Jacopo Dari, Luca Brocca, Pere Quintana-Segui, Maria Jose Escorihuela, Vivien Stefan, Renato Morbidelli
Article
Environmental Sciences
Hamed Adab, Renato Morbidelli, Carla Saltalippi, Mahmoud Moradian, Gholam Abbas Fallah Ghalhari
Article
Geosciences, Multidisciplinary
S. L. Gariano, G. Verini Supplizi, F. Ardizzone, P. Salvati, C. Bianchi, R. Morbidelli, C. Saltalippi
Summary: Analyzing historical records of landslides and rainfall data in Umbria, Italy, revealed changing patterns of rainfall-induced landslides in terms of location and timing over the observation period, showing a shift in spatial and temporal distribution of events. Recent rainfall events associated with landslides are characterized by lower rainfall amounts and shorter durations, indicating an increased susceptibility of the region to landslides over time.
Article
Engineering, Civil
Vincenzo Bagarello, Emanuele Barca, Mirko Castellini, Massimo Iovino, Renato Morbidelli, Carla Saltalippi, Alessia Flammini
Summary: This study simulated soil hydrological processes at the plot or field scale, showing the importance of using spatially representative values of saturated soil hydraulic conductivity, K-s. Uncertainty analysis can help determine the minimum number of measurements needed to achieve a specified accuracy level for the mean K-s value.
JOURNAL OF HYDROLOGY
(2021)
Review
Environmental Sciences
Renato Morbidelli, Carla Saltalippi, Jacopo Dari, Alessia Flammini
Summary: The data collected by gauges is crucial for hydrological studies, with different aggregation times characterized by sensor type and recording system. This review paper uses a comprehensive rainfall database from global rain gauge networks to analyze the temporal evolution of t(a). The discussion also highlights the importance of accurately determining extreme rainfall for designing hydraulic structures.
Article
Environmental Sciences
Marco Lompi, Paolo Tamagnone, Tommaso Pacetti, Renato Morbidelli, Enrica Caporali
Summary: This study highlights the importance of considering the effect of rainfall data aggregation on pluvial flood hazard assessment. The research findings demonstrate the significant impact of temporal aggregation on the design of short-duration rainfall events. Correcting annual maxima rainfall is emphasized as crucial for accurate pluvial flood hazard evaluation.
Article
Environmental Sciences
Renato Morbidelli, Carla Saltalippi, Jacopo Dari, Alessia Flammini
Summary: The main finding of this paper is that using rainfall data with coarse temporal resolution can lead to underestimation errors in extreme rainfall estimation and affect the analysis of climate change impacts. It is worth noting that different climate trend analysis methods may produce different results.
Editorial Material
Environmental Sciences
A. Gupta, R. S. Govindaraju, R. Morbidelli, C. Corradini
Summary: Bayes theorem provides a framework for parameter estimation by combining prior and sample information, but the availability and vagueness of prior knowledge may require the use of a reference prior for objective analysis. This study pursues an information-theoretic approach to derive reference priors and compares them to results obtained using a uniform prior.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Mehdi Rahmati, Borja Latorre, David Moret-Fernandez, Laurent Lassabatere, Nima Talebian, Dane Miller, Renato Morbidelli, Massimo Iovino, Vincenzo Bagarello, Mohammad Reza Neyshabouri, Ying Zhao, Jan Vanderborght, Lutz Weihermuller, Rafael Angulo Jaramillo, Dani Or, Martinus Th. van Genuchten, Harry Vereecken
Summary: This article introduces the concept of gravity time, t(grav), and its application in describing the infiltration process. By reformulating t(grav) and comparing it with the classical t(grav,Philip), the results show that the reformulated t(grav) is a better indicator of time domain validity. Neither the reformulated t(grav) nor the classical t(grav,Philip) is suitable for fine-textured soils.
WATER RESOURCES RESEARCH
(2022)
Article
Water Resources
Abhishek Goyal, Alessia Flammini, Renato Morbidelli, Corrado Corradini, Rao. S. S. Govindaraju
Summary: Saturated hydraulic conductivity (K-s) is a crucial soil parameter for modeling hydrological processes, but its field-scale variability is challenging to assess accurately. This study investigated the suitability of three in situ infiltration devices - the double-ring infiltrometer, Commonwealth Scientific and Industrial Research Organisation (CSIRO) version of the tension permeameter, and Guelph permeameter - using a Bayesian framework. The results showed divergent estimates of K-s distribution parameters obtained from each instrument's infiltration data. A posterior coarsening method was proposed to reconcile the point estimates from different instruments using field-scale rainfall-runoff data.
HYDROLOGICAL SCIENCES JOURNAL
(2023)
Article
Engineering, Civil
Abhishek Goyal, Alessia Flammini, Renato Morbidelli, Corrado Corradini, Rao S. Govindaraju
Summary: The impact of observations on the maximum likelihood estimates (MLE) of the Ks distribution parameters is evaluated in this study. Based on data from rainfall-runoff events, the results demonstrate the role of temporal variation of rainfall in resolving the Ks field for a rainfall event.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
Renato Morbidelli, Amanda Penelope Garcia-Marin, Abdullah Al Mamun, Rahman Mohammad Atiqur, Jose Luis Ayuso-Munoz, Mohamed Bachir Taouti, Piotr Baranowski, Gianni Bellocchi, Claudia Sanguesa-Pool, Brett Bennett, Byambaa Oyunmunkh, Brunella Bonaccorso, Luca Brocca, Tommaso Caloiero, Enrica Caporali, Domenico Caracciolo, M. Carmen Casas-Castillo, Carlos G. Catalini, Mohamed Chettih, A. F. M. Kamal Chowdhury, Rezaul Chowdhury, Corrado Corradini, Jeffrey Custo, Jacopo Dari, Nazzareno Diodato, Nolan Doesken, Alexandru Dumitrescu, Javier Estevez, Alessia Flammini, Hayley J. Fowler, Gabriele Freni, Francesco Fusto, Leoncio Garcia-Barron, Ancuta Manea, Sven Goenster-Jordan, Stuart Hinson, Ewa Kanecka-Geszke, Kanak Kanti Kar, Wieslawa Kasperska-Wolowicz, Miina Krabbi, Jaromir Krzyszczak, Alba Llabres-Brustenga, Jose L. J. Ledesma, Tie Liu, Marco Lompi, Loredana Marsico, Giuseppe Mascaro, Tommaso Moramarco, Noah Newman, Alina Orzan, Matteo Pampaloni, Roberto Pizarro-Tapia, Antonio Puentes Torres, Md Mamunur Rashid, Raul Rodriguez-Sola, Marcelo Sepulveda Manzor, Krzysztof Siwek, Arturo Sousa, P. Timbadiya, Tymvios Filippos, Marina Georgiana Vilcea, Francesca Viterbo, Chulsang Yoo, Marcelo Zeri, Georgios Zittis, Carla Saltalippi
JOURNAL OF HYDROLOGY
(2020)