Determining Real-Time Communication Feasibility in IoT Systems Supported by LoRaWAN.

Area of Science:

• Computer Science
• Electrical Engineering
• Telecommunications

Background:

• LoRaWAN (Long Range Wide Area Network) is a popular protocol for Internet of Things (IoT) devices, prioritizing long range and low power consumption.
• However, LoRaWAN was not originally designed for real-time message delivery, posing challenges for time-critical IoT applications.
• Applications like natural hazard early warning systems, industrial machinery monitoring, and autonomous transportation require reliable, low-latency communication.

Purpose of the Study:

• To present a novel model for evaluating the real-time communication capabilities of LoRaWAN networks during the design phase of IoT systems.
• To provide IoT solution designers with a tool to ascertain the feasibility of implementing real-time communication over LoRaWAN.
• To guide the optimization of LoRaWAN communication infrastructure for time-constrained messaging.

Main Methods:

• The paper proposes a design-time model to analyze LoRaWAN network performance concerning real-time communication constraints.
• The model allows for the prediction of communication feasibility before system deployment.
• It offers insights into potential bottlenecks and areas for network improvement.

Main Results:

• The developed model enables designers to confidently decide whether LoRaWAN is suitable for their real-time IoT solution.
• It provides a quantitative basis for assessing the viability of time-sensitive messaging over LoRaWAN.
• The model can identify specific network configurations or parameters that need adjustment to achieve real-time capabilities.

Conclusions:

• The proposed model enhances the design process for real-time IoT systems utilizing LoRaWAN.
• It empowers designers to make informed decisions about network infrastructure, ensuring suitability for time-critical applications.
• This work contributes to the broader adoption of LoRaWAN in demanding IoT scenarios by addressing its real-time limitations.