Narrowband-Internet of Things Device-to-Device Simulation: An Open-Sourced Framework

Area of Science:

• Electrical Engineering
• Computer Science
• Telecommunications

Background:

• Narrowband-Internet of Things (NB-IoT) offers high-quality connectivity via 5G networks for diverse IoT applications.
• Effective management and power consumption analysis are crucial for NB-IoT device integration and network performance evaluation.

Purpose of the Study:

• To develop and present an architecture and open-sourced simulation for studying NB-IoT in Device-to-Device (D2D) mode.
• To analyze NB-IoT D2D network performance, including physical, network, and application layers, alongside queuing and delay models.

Main Methods:

• Developed a simulation framework encompassing physical, network, and application layers for NB-IoT D2D communication.
• Integrated queuing models, uplink/downlink delay analysis, throughput metrics, and energy consumption based on the LEACH protocol.
• Utilized an open-sourced approach for the proposed architecture and simulation.

Main Results:

• Demonstrated significant reduction in power consumption and queuing delays.
• Achieved decreased communication costs and minimized inter-cluster collisions.
• Showcased prevention of malicious node attacks, improved battery State of Charge (SOC) and State of Health (SOH), and maximized network lifetime.

Conclusions:

• The proposed NB-IoT D2D framework effectively optimizes network performance and energy efficiency.
• The open-sourced simulation provides a valuable tool for scientific research and development in NB-IoT network planning.
• Results indicate enhanced reliability, security, and longevity for NB-IoT deployments.