Priority-Driven Mobility-Aware Dynamic LoRaWAN Model for Enhanced IoT Connectivity and Energy Efficiency
摘要
LoRaWAN is widely adopted for large-scale, low-power IoT deployments; however, its standard architectures (LoRaWAN 1.0.x and LoRaWAN 1.1) face persistent challenges under mobility, heterogeneous traffic, and dynamic network conditions. This paper proposes a Priority-Driven Mobility-Aware Dynamic LoRaWAN framework that enhances adaptability, latency, and energy efficiency while maintaining full compliance with LoRaWAN standards. The architecture introduces mobility-aware predictive Adaptive Data Rate (ADR), Particle Swarm Optimization (PSO)–based gateway placement, and application-aware traffic prioritization implemented above the MAC and PHY layers, ensuring interoperability and regulatory compliance. Extensive simulations conducted over large-scale, dense, and mobile IoT scenarios demonstrate significant performance gains, including reduced latency, improved spectral efficiency, lower ADR signaling overhead, and balanced energy consumption, without altering standard LoRaWAN procedures. The results indicate that the proposed framework effectively transforms LoRaWAN into a scalable, mobility-resilient, and energy-efficient communication solution suitable for smart cities, industrial IoT, disaster response, and satellite-assisted wide-area sensing applications.