LoRaWAN Gateway Placement Model for Dynamic Internet of Things Scenarios

Area of Science:

• Computer Science
• Electrical Engineering
• Telecommunications

Background:

• Long Range Wide Area Network (LoRaWAN) is crucial for dynamic Internet of Things (IoT) applications.
• Effective LoRaWAN gateway deployment requires balancing Capital Expenditure (CAPEX), Operational Expenditure (OPEX), and Quality of Service (QoS).

Purpose of the Study:

• To introduce DPLACE, a novel model for optimizing LoRaWAN gateway placement in dynamic IoT environments.
• To enhance network planning and optimization considering economic and service quality factors.

Main Methods:

• DPLACE groups similar IoT devices to optimize gateway coverage.
• It utilizes Gap statistics for determining the optimal number of gateways.
• K-Means and Fuzzy C-means algorithms are employed for precise gateway placement calculations.

Main Results:

• Simulations demonstrate DPLACE's effectiveness in LoRaWAN gateway placement.
• The model shows significant improvements in balancing CAPEX, OPEX, and QoS compared to existing methods.

Conclusions:

• DPLACE offers an efficient solution for LoRaWAN gateway deployment in dynamic IoT settings.
• The model provides a strategic approach to network planning, optimizing resource allocation and service delivery.