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A Reliable Low-Latency Multipath Routing Algorithm for Urban Rail Transit Ad Hoc Networks
Lei Suo1, Liu Liu1, Zhaoyang Su1
1School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China.
Sensors (Basel, Switzerland)
|July 8, 2023
Summary
A new algorithm, reliable low-latency multipath routing (RLLMR), enhances urban rail transit communication. It improves speed and throughput for intelligent transit systems, addressing limitations of traditional methods.
Area of Science:
- Intelligent Transportation Systems
- Wireless Communication Networks
- Ad Hoc Networking
Background:
- Urban rail transit is advancing towards intelligent systems, increasing communication demands.
- Traditional vehicle-ground communication systems cannot meet future requirements.
- Existing protocols face challenges in latency and reliability for dynamic urban rail environments.
Purpose of the Study:
- To propose a reliable low-latency multipath routing (RLLMR) algorithm for urban rail transit ad hoc networks.
- To enhance vehicle-ground communication performance by addressing latency and reliability.
- To improve the overall efficiency of intelligent urban rail transit communication systems.
Main Methods:
- RLLMR utilizes node location information for proactive multipath configuration, reducing route discovery delay.
- Adaptive adjustment of transmission paths based on Quality of Service (QoS) requirements optimizes transmission quality.
- A routing maintenance scheme with static node-based local repair minimizes maintenance cost and time.
Main Results:
- The RLLMR algorithm demonstrates significant improvements in reducing communication latency compared to AODV and AOMDV protocols.
- While slightly less reliable than AOMDV, RLLMR offers superior overall throughput.
- The proactive multipath and adaptive path selection contribute to enhanced communication performance.
Conclusions:
- RLLMR is an effective algorithm for improving latency and throughput in urban rail transit ad hoc networks.
- The algorithm balances performance metrics, offering a viable solution for intelligent transit communication.
- Further research may focus on optimizing reliability to match or exceed existing protocols.
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