CADD: Collaborative adaptive duty cycle and data reduction for congestion control in LoRaWAN

By /

Project publication · Internet of Things

Summary

The article presents CADD, a congestion-control mechanism for LoRaWAN that combines dynamic data reduction with adaptive duty-cycle adjustment.

Mapa de calor de configuración de CADD para control de congestión LoRaWAN
Figure from the original article. Source: Internet of Things/Elsevier, reproduced without modification under CC BY 4.0.

Authors: Laura Acosta-Garcia, Juan Aznar-Poveda, Stefan Pedratscher, Marlon Etheredge, Rafael Asorey-Cacheda, Joan Garcia-Haro, Thomas Fahringer, Antonio-Javier Garcia-Sanchez

Journal: Internet of Things

DOI: 10.1016/j.iot.2026.101904

Funding: PID2023-148214OB-C21.

UPCT Repository: http://hdl.handle.net/10317/23029

Bibliometric indicators

JCR quartileQ1
Impact factor7.6
Google Scholar citations0
JCR area
Engineering, Electrical & Electronic
JCR year
2024
Scholar query
21 May 2026

Main contribution

The contribution integrates gateway-side observation, data priority and traffic regulation to improve packet delivery and reduce energy consumption in dense deployments. The experiments show clear gains over static schemes and previous congestion-control mechanisms.

Link with BoND1

CADD is directly connected to BoND1 because it addresses scalability, efficiency and sustainability in LoRaWAN networks, three critical dimensions for non-cellular IoT connectivity able to operate in B6G scenarios with many devices.

DOI UPCT Repository
Scroll al inicio