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Evaluating the Performance of Proposed Switched Beam Antenna Systems in Dynamic V2V Communication Networks
Tahir H Ahmed1, Jun Jiat Tiang1, Azwan Mahmud1
1Centre of Wireless Technology, Multimedia University, Cyberjaya 63000, Malaysia.
This study introduces a reliable vehicle-to-vehicle communication system using switched beam antennas. The novel approach enhances throughput and reduces bit error rates for safer intelligent transportation systems.
Area of Science:
- Electrical Engineering
- Computer Science
- Transportation Systems
Background:
- Vehicle-to-vehicle (V2V) communication is crucial for intelligent transportation systems (ITS).
- Reliable V2V communication faces challenges in diverse environmental conditions.
- Existing systems may struggle with real-time data retrieval and performance under varying traffic densities.
Purpose of the Study:
- To develop a novel, reliable V2V communication approach for various environments.
- To improve communication efficiency and robustness in vehicular networks.
- To introduce an anti-failure system for enhanced ITS reliability.
Main Methods:
- Deployment of switched beam antennas at transmitting and receiving points.
- Implementation of a low-computation beam management algorithm with a mathematical model.
- Integration of an anti-failure system for Packet Delivery Ratio (PDR) retrieval.
- Performance evaluation using metrics like time to collision, BER, PER, throughput, and computational complexity.
Main Results:
- Achieved an average throughput of 1.7 Mbps, exceeding conventional methods (1.35 Mbps).
- Reduced the bit error rate (BER) by a factor of 0.1 compared to traditional systems.
- Demonstrated high beam power efficiency, approaching 100% at a computational factor of 34.
- The proposed system proved excellent and reliable in extensive simulations and experiments.
Conclusions:
- The novel V2V communication approach offers superior performance and robustness for vehicular systems.
- The system's efficiency and reliability are validated by key performance metrics.
- This advancement contributes to safer and more efficient intelligent transportation systems.
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