Priority-Based Resource Allocation Optimization for Multi-Service LoRaWAN Harmonization in Compliance with IEEE 2668.

Area of Science:

• Internet of Things (IoT)
• Wireless Communication Networks
• Network Resource Management

Background:

• LoRaWAN networks support diverse smart applications but face challenges with multi-service coexistence due to limited resources.
• Existing resource allocation methods are inadequate for LoRaWAN systems with services of varying criticality levels.

Purpose of the Study:

• To propose a novel priority-based resource allocation (PB-RA) scheme for coordinating multi-service LoRaWAN networks.
• To address the challenges of limited channel resources, uncoordinated configuration, and scalability in multi-service LoRaWAN environments.

Main Methods:

• Classified LoRaWAN services into safety, control, and monitoring categories based on criticality.
• Developed a priority-based resource allocation (PB-RA) scheme assigning spreading factors (SFs) according to service priority.
• Introduced a harmonization index (HDex) based on IEEE 2668 standard to quantify Quality of Service (QoS).
• Utilized Genetic Algorithm (GA)-based optimization to determine optimal service criticality parameters.

Main Results:

• The PB-RA scheme effectively reduces average packet loss rate (PLR) and improves throughput.
• The proposed HDex index provides a quantitative measure of network coordination and QoS performance.
• GA-based optimization maximized network-wide HDex and end-device capacity.
• Achieved an HDex score of 3 for each service type with 150 end devices, increasing capacity by 50% over ADR.

Conclusions:

• The priority-based resource allocation (PB-RA) scheme offers an effective solution for multi-service LoRaWAN networks.
• The PB-RA scheme significantly enhances network capacity and QoS performance compared to conventional methods.
• The defined HDex metric and GA optimization provide a robust framework for evaluating and improving LoRaWAN network coordination.