Results 81 to 90 of about 7,732 (194)
This review presents recent advances in electroanalytical techniques for arsenic detection in water. The stripping voltammetry combined with pulse/sweep techniques and integration of nanomaterials, printed sensors, and microfluidics has significantly improved the detection and speciation capabilities.
Abhijnan Bhat +4 more
wiley +1 more source
Flexible Multimodal Sub-Gigahertz Communication for Heterogeneous Internet of Things Applications [PDF]
To realize low-power and low-cost wireless communication over long distances, several wireless standards using sub-1 GHz frequencies have recently been proposed, each with their own strengths and weaknesses in terms of coverage, energy consumption, and ...
Berkvens, Rafael +7 more
core +1 more source
Implementation of an IoT‐Based Livestock Monitoring System Using Mioty Technology
ABSTRACT Environmental monitoring and control in pig farms is fundamental not only for the farmer's economy, but also for animal welfare. The detection and control of basic parameters such as temperature, humidity, and luminosity are crucial for the development, rearing, and weaning of pigs. This paper presents the implementation of a monitoring system
Luis Rubio Fuentes +2 more
wiley +1 more source
Selective Jamming of LoRaWAN using Commodity Hardware
Long range, low power networks are rapidly gaining acceptance in the Internet of Things (IoT) due to their ability to economically support long-range sensing and control applications while providing multi-year battery life.
Aras Emekcan +7 more
core +1 more source
Multi-hop communication in the uplink for LPWANs [PDF]
Low-Power Wide Area Networks (LPWANs) have arisen as a promising communication technology for supporting Internet of Things (IoT) services due to their low power operation, wide coverage range, low cost and scalability. However, most LPWAN solutions like SIGFOX or LoRaWAN rely on star topology networks, where stations (STAs) transmit directly to the ...
Sergio Barrachina-Muñoz +3 more
openaire +3 more sources
Offline Learning for Acknowledgment Optimization in Massive LoRaWAN Networks
ABSTRACT LoRaWAN faces critical limitations in large‐scale deployments due to spectrum contention, duty‐cycle restrictions, and energy constraints. These challenges impact the reliability and responsiveness of bidirectional communication particularly when conventional acknowledgment mechanisms are used.
Leila Aissaoui Ferhi
wiley +1 more source
As the Internet of Things (IoT) ecosystem rapidly expands, the anticipated connection of over 75 billion devices highlights a critical demand for efficient and scalable connectivity solutions.
Aisyah Illani Sulaiman +2 more
doaj +1 more source
Scalability analysis of large-scale LoRaWAN networks in ns-3
As LoRaWAN networks are actively being deployed in the field, it is important to comprehend the limitations of this Low Power Wide Area Network technology. Previous work has raised questions in terms of the scalability and capacity of LoRaWAN networks as
Abeele, Floris Van den +3 more
core +1 more source
LoRa Transmission Parameter Selection [PDF]
Low-Power Wide-Area Network (LPWAN) technologies such as Long Range (LoRa) are emerging that enable power efficient wireless communication over very long distances.
Bor, Martin, Roedig, Utz
core +1 more source
Improving Recognition of Sub-GHz LPWANs: A Deep Learning Approach With the UPC-LPWAN-1 Dataset
This work was supported in part by the Spanish Ministry of Science with ERFD Funds under Project PID2022-142105OB-I00 granted by MCIN/AEI/10.13039/501100011033/FEDER,UE.
Maya Olalla, Edgar +3 more
openaire +4 more sources

