Evolutionary Power-Aware Routing in VANETs using Monte-Carlo Simulation
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866910828331008000 |
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| author | Toutouh, J. Nesmachnow, S. Alba, E. |
| author_facet | Toutouh, J. Nesmachnow, S. Alba, E. |
| contents | This work addresses the reduction of power consumption of the AODV routing protocol in vehicular networks as an optimization problem. Nowadays, network designers focus on energy-aware communication protocols, specially to deploy wireless networks. Here, we introduce an automatic method to search for energy-efficient AODV configurations by using an evolutionary algorithm and parallel Monte-Carlo simulations to improve the accuracy of the evaluation of tentative solutions. The experimental results demonstrate that significant power consumption improvements over the standard configuration can be attained, with no noteworthy loss in the quality of service. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_10417 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Evolutionary Power-Aware Routing in VANETs using Monte-Carlo Simulation Toutouh, J. Nesmachnow, S. Alba, E. Neural and Evolutionary Computing Artificial Intelligence Networking and Internet Architecture This work addresses the reduction of power consumption of the AODV routing protocol in vehicular networks as an optimization problem. Nowadays, network designers focus on energy-aware communication protocols, specially to deploy wireless networks. Here, we introduce an automatic method to search for energy-efficient AODV configurations by using an evolutionary algorithm and parallel Monte-Carlo simulations to improve the accuracy of the evaluation of tentative solutions. The experimental results demonstrate that significant power consumption improvements over the standard configuration can be attained, with no noteworthy loss in the quality of service. |
| title | Evolutionary Power-Aware Routing in VANETs using Monte-Carlo Simulation |
| topic | Neural and Evolutionary Computing Artificial Intelligence Networking and Internet Architecture |
| url | https://arxiv.org/abs/2502.10417 |