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

TL;DR

This paper presents an evolutionary algorithm combined with Monte-Carlo simulations to optimize the AODV routing protocol for energy efficiency in vehicular ad hoc networks, achieving significant power savings without compromising service quality.

Contribution

It introduces a novel automatic method for tuning AODV configurations using evolutionary algorithms and parallel Monte-Carlo simulations for improved energy efficiency.

Findings

Significant power consumption reduction achieved

No notable loss in quality of service

Enhanced accuracy in evaluating routing configurations

Abstract

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.