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Adaptive Communication Model for QoS in Vehicular IoT Systems Using CTMC.

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  • 1School of Computer Science and Engineering, Yeungnam University, Gyeongsan-si 38541, Republic of Korea.

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Summary
This summary is machine-generated.

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.

Keywords:
AMSAC-ITSCTMCQoSV-IoTthroughputvehicular networks

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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.