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.
Authors
- Tahir Khurshaid (ORCID: https://orcid.org/0000-0001-6113-123X)
- Adeel Iqbal (ORCID: https://orcid.org/0000-0001-8692-173X)
- Ali Nauman (ORCID: https://orcid.org/0000-0002-2133-5286)
- Sung Won Kim (ORCID: https://orcid.org/0000-0001-8454-6980)
Institutions
- Yeungnam University (KR)
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