Evolutionary Power-Aware Routing in VANETs using Monte-Carlo Simulation
This work addresses energy efficiency for vehicular network designers, but it is incremental as it builds on existing AODV protocols.
The paper tackles the problem of reducing power consumption in the AODV routing protocol for vehicular networks by optimizing configurations, achieving significant power savings without notable quality-of-service loss.
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.