Hierarchical Evolutionary Optimization with Predictive Modeling for Stable Delay-Constrained Routing in Vehicular Networks
- URL: http://arxiv.org/abs/2503.12050v1
- Date: Sat, 15 Mar 2025 08:51:06 GMT
- Title: Hierarchical Evolutionary Optimization with Predictive Modeling for Stable Delay-Constrained Routing in Vehicular Networks
- Authors: Zhang Zhiou, Guo Weian, Zhang Qin, Lin Haibin, Li Dongyang,
- Abstract summary: Vehicular Ad Hoc Networks (VANETs) are a cornerstone of intelligent transportation systems, facilitating real-time communication between vehicles and infrastructure.<n>This paper proposes a hierarchical evolutionary optimization framework for delay-constrained routing in vehicular networks.
- Score: 6.449894994514711
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Vehicular Ad Hoc Networks (VANETs) are a cornerstone of intelligent transportation systems, facilitating real-time communication between vehicles and infrastructure. However, the dynamic nature of VANETs introduces significant challenges in routing, especially in minimizing communication delay while ensuring route stability. This paper proposes a hierarchical evolutionary optimization framework for delay-constrained routing in vehicular networks. Leveraging multi-objective optimization, the framework balances delay and stability objectives and incorporates adaptive mechanisms like incremental route adjustments and LSTM-based predictive modeling. Simulation results confirm that the proposed framework maintains low delay and high stability, adapting effectively to frequent topology changes in dynamic vehicular environments.
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