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To address the diverse requirements of Internet of Thing (IoT) applications, Low Power Wide Area (LPWA) networks represent an innovative communication paradigm. Unfortunately, scaling the networks to massive number of devices and managing higher levels of interference are still open issues. Most studies suggest that end devices should adapt their communication parameters. Therefore, the main objective is to design an energy-efficient and latency-bounded adaptive application layer for LPWA network. However, the current project addresses only one subobjective namely system and link level modeling and performance evaluation of long-range wide-area network (LoRaWAN) that uses radio management ploicies to achieve high transmission reliability and low energy consumption. Accordingly, we aim at helping the industrial partner gain insights and competitive knowledge on the effectiveness of these application layer policies on guaranteeing a given data-reliability-profile in a real deployment scenario under backward compatibleness with LoRaWAN adaptive data rate (ADR) mechanism and computational complexity constraints.
Messaoud Ahmed Ouameur
Altus Technologie
Engineering
Manufacturing
Université du Québec à Trois-Rivières
Accelerate
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