# Evolutionary Power-Aware Routing in VANETs using Monte-Carlo Simulation

arXiv: https://arxiv.org/abs/2502.10417 · HTML: https://mlsanity.com/paper/2502.10417/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 21 references that are in the map.
- First posted on arXiv 1 Feb 2025.

## Builds on (most cited first, 3 of 3)

- [Automatic tuning of communication protocols for vehicular ad hoc networks using metaheuristics](https://mlsanity.com/paper/2501.08847/) (2025)
- [Intelligent OLSR Routing Protocol Optimization for VANETs](https://mlsanity.com/paper/2501.09716/) (2025)
- [Fast energy-aware OLSR routing in VANETs by means of a parallel evolutionary algorithm](https://mlsanity.com/paper/2501.09996/) (2025)

## Abstract (arXiv)

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.
