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Adaptive Communication Model for QoS in Vehicular IoT Systems Using CTMC
Adeel Iqbal1, Tahir Khurshaid2, Ali Nauman1
1School of Computer Science and Engineering, Yeungnam University, Gyeongsan-si 38541, Republic of Korea.
Sensors (Basel, Switzerland)
|April 28, 2025
Summary
This study introduces an Adaptive Multi-mode Spectrum Access (AMSA) approach for vehicular networks. AMSA enhances spectrum usage and throughput while reducing delay in intelligent transportation systems.
Area of Science:
- Intelligent Transportation Systems
- Wireless Communication Networks
- Internet of Things
Background:
- Vehicular Internet of Things (V-IoT) systems are crucial for intelligent transportation.
- Effective communication between vehicles and infrastructure is essential.
- Adaptive communication models can improve resource utilization in vehicular networks.
Purpose of the Study:
- To propose an Adaptive Multi-mode Spectrum Access (AMSA) approach.
- To optimize Quality of Service (QoS) in multi-class V-IoT networks.
- To enhance resource allocation and communication efficiency.
Main Methods:
- Developed an AMSA approach that dynamically switches spectrum access modes (interweave, underlay, coexistence).
- Evaluated AMSA performance against static spectrum access methods.
- Focused on optimizing QoS parameters like spectrum usage, throughput, and delay.
Main Results:
- AMSA improved spectrum usage by 56% compared to static methods.
- Throughput was enhanced by 110% with the AMSA approach.
- Delay for low-priority traffic was reduced by up to 47.5%.
Conclusions:
- The proposed AMSA approach offers robust vehicular communication.
- Optimal resource allocation is achieved under diverse network conditions.
- Adaptive spectrum access is key to advancing V-IoT networks.
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