SCHC over LoRaWAN Efficiency: Evaluation and Experimental Performance of Packet Fragmentation

Area of Science:

• Networking
• Internet of Things (IoT)
• Wireless Communication

Background:

• Low Power Wide Area Networks (LPWAN) are crucial for massive Internet of Things (IoT) connectivity but lack a standard network layer, hindering interoperability.
• Existing LPWAN technologies often bypass IP protocols, necessitating middleboxes for integration with IP-based networks.
• Static Context Header Compression and Fragmentation (SCHC) by the IETF enables IPv6/UDP header compression and fragmentation for constrained devices.

Purpose of the Study:

• To develop and validate a model for calculating channel occupation efficiency in LoRaWAN™ networks using SCHC.
• To analyze the relationship between channel efficiency, LoRa™ spreading factors, and SCHC message error probability.
• To provide an open-source implementation of SCHC ACK-on-Error for LoRaWAN™ upstream channels.

Main Methods:

• Developed a mathematical model to determine channel occupation efficiency based on SCHC message transmission times.
• Utilized the ACK-on-Error mode within the SCHC framework for LoRaWAN™ upstream communication.
• Compared model predictions with experimental data from a practical SCHC over LoRaWAN™ implementation.

Main Results:

• The proposed model accurately predicts channel occupation efficiency across various LoRa™ spreading factors.
• A clear relationship was established between channel efficiency, spreading factor, and SCHC message error probability.
• The SCHC ACK-on-Error mode implementation for LoRaWAN™ upstream channels is now publicly available.

Conclusions:

• SCHC effectively facilitates IP-based communication over constrained LPWAN technologies like LoRaWAN™.
• The developed model offers valuable insights into optimizing channel usage and performance in SCHC-enabled LPWANs.
• The open-source contribution supports further research and development in LPWAN protocol optimization.