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Heuristic Path Search and Multi-Attribute Decision-Making-Based Routing Method for Vehicular Safety Messages
Lei Nie1,2, Junjie Zhang1,2, Haizhou Bao1,2
1School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430065, China.
Sensors (Basel, Switzerland)
|December 9, 2023
Summary
This study introduces a new vehicular safety message routing method (HMDR) that improves transmission efficiency in complex traffic. HMDR finds optimal paths and relays, reducing message delay and enhancing road safety.
Area of Science:
- Vehicular Ad Hoc Networks (VANETs)
- Network Routing Protocols
- Intelligent Transportation Systems (ITS)
Background:
- Efficient routing is critical for timely safety message transmission in urban vehicular networks.
- Existing methods struggle with global optimality and accurate relay evaluation in complex traffic.
Purpose of the Study:
- To develop an advanced vehicular safety message routing method (HMDR) for improved performance in intricate traffic scenarios.
- To enhance the selection of globally optimal transmission paths and reliable relays.
Main Methods:
- HMDR employs a heuristic path search prioritizing road connectivity.
- It utilizes multi-attribute decision-making (MADM) with ordinal relationship analysis and CRITIC for relay evaluation.
- Subjective and objective weights are determined for optimal relay selection based on link time and utility values.
Main Results:
- HMDR prioritizes path connectivity, leading to shorter total transmission delays for safety messages.
- The method demonstrates faster propagation speed compared to other evaluated techniques.
- HMDR ensures improved one-hop distance and one-hop delay in safety message transmission.
Conclusions:
- The proposed HMDR method effectively selects globally optimal transmission paths and relays in vehicular networks.
- HMDR comprehensively considers multiple metrics and their interrelationships for robust relay evaluation.
- This approach significantly enhances vehicular safety message transmission performance, supporting secure driving.
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