DCCMAPI/CCET

Uma banca de PROPOSTA DE TESE/DISSERTAÇÃO de DOUTORADO foi cadastrada pelo programa.
DISCENTE: GERALDO ABRANTES SARMENTO NETO
DATA: 26/02/2026
HORA: 13:00
LOCAL: meet.google.com/gmw-gfrc-kir
TÍTULO: Mobility-Aware Adaptive Data Rate Mechanisms for LoRaWAN Networks
PALAVRAS-CHAVES: ADR, Internet of Things, LoRaWAN, Mobility, Network Simulation
PÁGINAS: 110
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Ciência da Computação
SUBÁREA: Sistemas de Computação
ESPECIALIDADE: Teleinformática
RESUMO: LoRaWAN has established itself as a prominent Low Power Wide Area Network (LPWAN) technology for Internet of Things applications, offering long-range communication with low energy consumption. Nevertheless, its standard Adaptive Data Rate (ADR) mechanism is primarily tailored to stationary end devices, which leads to performance degradation in mobile scenarios due to rapid and non-stationary channel fluctuations. To address these limitations, this thesis proposes and evaluates three mobility-aware ADR mechanisms: Percentile-based ADR (P-ADR), Dynamic Particle Filter ADR (DPF-ADR), and Link Quality Estimationbased ADR (LoRa-LQE). These schemes aim to improve reliability and energy efficiency by incorporating statistical filtering, dynamic adaptation, and explicit link-quality assessment. The proposed mechanisms are evaluated through an extensive simulation campaign using the Network Simulator 3, enabling a systematic analysis under diverse mobility models, traffic loads, packet sizes, and network densities. To complement the simulation-based assessment and validate the observed trends under realistic conditions, a small-scale experimental testbed is also employed, providing insights into practical deployment aspects and hardware-level energy behavior. The results demonstrate that the proposed schemes consistently outperform the standard ADR in mobile scenarios, achieving higher packet delivery ratios and improved energy efficiency, while maintaining comparable performance under low-mobility or quasi-static conditions. Statistical significance analysis confirms that the observed gains are robust across multiple experimental settings. Overall, the findings show that P-ADR, DPF-ADR, and LoRa-LQE constitute effective and complementary alternatives to the standard ADR, enabling more reliable and energy-efficient communication in mobile LoRaWAN networks and addressing a critical gap in the current protocol design.
MEMBROS DA BANCA:
Presidente - 005.693.753-98 - JOSE VALDEMIR DOS REIS JUNIOR
Interno - 976.914.453-34 - ERICO MENESES LEÃO
Interno - 015.530.343-09 - FRANCISCO AIRTON PEREIRA DA SILVA
Externo à Instituição - CARLOS ALBERTO KAMIENSKI - UFABC
Externo à Instituição - NUNO MIGUEL MACHADO CRUZ - ISEL