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An Adaptive Multi-Channel Cooperative Data Transmission Scheduling in VANETs
Benhong Zhang1,2, Baorui Yuan1, Xiang Bi1,2
1School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230009, China.
Sensors (Basel, Switzerland)
|October 6, 2020
Summary
This study introduces a cooperative scheduling algorithm for the Internet of Vehicles (IoV) to improve data transmission stability. The new method enhances network service capacity by 31% and reduces delay by 20%.
Area of Science:
- Intelligent Transportation Systems
- Wireless Communication Networks
- Computer Science
Background:
- The Internet of Vehicles (IoV) is crucial for intelligent transportation, but data transmission faces challenges like network instability and high latency.
- Current data transmission scheduling methods struggle with dynamic network topologies and delays inherent in IoV environments.
Purpose of the Study:
- To address the instability and delay issues in IoV data transmission.
- To propose a novel multi-channel data transmission cooperative scheduling algorithm for enhanced IoV performance.
Main Methods:
- Constructing a feasible interference map based on vehicle communication data.
- Assigning channels using Signal-to-Interference-Noise-Ratio (SINR) for optimal node communication.
- Employing the ISing model to achieve an optimal multi-channel data transmission cooperative scheduling scheme.
Main Results:
- The proposed algorithm significantly improves network service capacity by approximately 31%.
- Service delay is reduced by approximately 20% compared to traditional algorithms.
- Ensures preferential transmission of emergency data and maximizes weighted service capacity.
Conclusions:
- The developed multi-channel cooperative scheduling algorithm effectively enhances IoV data transmission stability and efficiency.
- The algorithm provides a robust solution for intelligent transportation systems facing dynamic network conditions.
- The findings demonstrate a significant advancement in IoV communication protocols, prioritizing critical data delivery.
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