DG-LoRa: Deterministic Group Acknowledgment Transmissions in LoRa Networks for Industrial IoT Applications

Area of Science:

• Computer Science
• Electrical Engineering
• Telecommunications

Background:

• Low Power Wide Area Networks (LPWANs) face scalability challenges.
• Existing LoRaWAN protocols can experience high data drop rates and retransmissions.
• Efficient Medium Access Control (MAC) protocols are crucial for LPWAN performance.

Purpose of the Study:

• To introduce DG-LoRa, a novel MAC protocol designed to enhance LPWAN scalability.
• To improve channel access determinism and network capacity.
• To provide backward compatibility with existing LoRaWAN infrastructure.

Main Methods:

• Development of the DG-LoRa MAC protocol featuring group acknowledgments and optimized spreading factor/timeslot allocation.
• Performance evaluation using Monte-Carlo simulations.
• Comparative analysis against legacy LoRaWAN.

Main Results:

• DG-LoRa supports approximately five times more network connections under a 5% data drop rate.
• The protocol significantly reduces the number of data frame retransmissions.
• DG-LoRa demonstrates lower overhead compared to legacy LoRaWAN.

Conclusions:

• DG-LoRa offers a scalable and efficient solution for LPWANs.
• The proposed MAC protocol effectively addresses the limitations of legacy LoRaWAN.
• DG-LoRa facilitates improved network performance and increased device connectivity.