Adaptive Communication Model for QoS in Vehicular IoT Systems Using CTMC

Vehicular Internet of Things (V-IoT) systems will be critical in advancing intelligent transportation networks because of the easy communication they make possible between vehicles, roadside infrastructure, and other network entities. Integrating adaptive IoT-based communication models will increase resource utilization and allow multiple communications in vehicular networks. This work proposes an Adaptive Multi-mode Spectrum Access (AMSA) approach for optimal Quality of Service (QoS) in multi-class V-IoT networks. Unlike traditional static spectrum access methods, AMSA switches between interweave, underlay, and coexistence modes based on network conditions. Our results indicate that AMSA improves spectrum usage by 56% over static spectrum access improves throughput by 110%, and reduces delay for low-priority traffic by up to 47.5%. This new integration offers robust vehicular communication with optimal resource allocation under different network scenarios.

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Publication Details

Journal
Sensors
Published
2025-03-14
DOI
https://doi.org/10.3390/s25061818
Citations
3
Primary Topic
Cognitive Radio Networks and Spectrum Sensing
Type
article
Field-Weighted Citation Impact
4.46
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article

Adaptive Communication Model for QoS in Vehicular IoT Systems Using CTMC

Tahir Khurshaid, Adeel Iqbal, Ali Nauman, Sung Won Kim
3 citations
Sensors
Cognitive Radio Networks and Spectrum Sensing
4.46
article

Adaptive Communication Model for QoS in Vehicular IoT Systems Using CTMC

Tahir Khurshaid, Adeel Iqbal, Ali Nauman, Sung Won Kim
article en
3 citations

Abstract

Vehicular Internet of Things (V-IoT) systems will be critical in advancing intelligent transportation networks because of the easy communication they make possible between vehicles, roadside infrastructure, and other network entities. Integrating adaptive IoT-based communication models will increase resource utilization and allow multiple communications in vehicular networks. This work proposes an Adaptive Multi-mode Spectrum Access (AMSA) approach for optimal Quality of Service (QoS) in multi-class V-IoT networks. Unlike traditional static spectrum access methods, AMSA switches between interweave, underlay, and coexistence modes based on network conditions. Our results indicate that AMSA improves spectrum usage by 56% over static spectrum access improves throughput by 110%, and reduces delay for low-priority traffic by up to 47.5%. This new integration offers robust vehicular communication with optimal resource allocation under different network scenarios.

SensorsVol. 25(6)
Yeungnam University (KR)
Openalex Percentile: Top 6%
Cognitive Radio Networks and Spectrum Sensing
4.46
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Adaptive Communication Model for QoS in Vehicular IoT Systems Using CTMC — Tahir Khurshaid, Adeel Iqbal, et al. · Sensors (2025) | TGRS Research Map | TGRS