Priority-Aware Spectrum Management for QoS Optimization in Vehicular IoT

Area of Science:

• Intelligent Transportation Systems
• Wireless Communication Networks
• Internet of Things (IoT)

Background:

• Vehicular Internet of Things (V-IoT) networks face challenges in providing stable, low-latency, and energy-efficient communication due to limited spectrum and diverse Quality of Service (QoS) needs.
• High-density deployment of roadside units and sensor-equipped vehicles characterize next-generation intelligent transportation systems.
• Existing communication methods struggle with the heterogeneous and delay-prone nature of V-IoT environments.

Purpose of the Study:

• To present a Priority-Aware Spectrum Management (PASM) scheme for IoT-based vehicular networks.
• To optimize spectrum utilization, energy efficiency, and throughput in V-IoT networks.
• To ensure continuous and reliable service for all IoT devices, regardless of priority.

Main Methods:

• A dynamic spectrum access scheme integrating interweave, underlay, and coexistence modes.
• Implementation of a priority-aware resource allocation algorithm.
• Analysis using a Continuous-Time Markov Chain (CTMC) model to evaluate performance under various network loads.

Main Results:

• The PASM scheme demonstrates improved spectral efficiency and throughput compared to conventional methods.
• Significant reductions in delay and enhanced Quality of Service (QoS) compliance were observed.
• The algorithm effectively manages resources, prioritizing devices to ensure reliable service.

Conclusions:

• The proposed Priority-Aware Spectrum Management (PASM) scheme is a scalable and effective solution for dynamic V-IoT environments.
• PASM addresses the challenges of limited spectral resources and diverse QoS requirements.
• The findings support the advancement of intelligent transportation systems through optimized V-IoT communication.