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Evolutionary power-aware routing in VANETs using Monte-Carlo simulation

机译:在浩瀚的蒙特卡罗类似的进步力令人震惊的溃败

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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.
机译:这项工作解决了车辆网络中AODV路由协议的功耗降低作为优化问题。如今,网络设计师专注于能量感知通信协议,特别是部署无线网络。在这里,我们通过使用进化算法和并行蒙特卡罗模拟来介绍一种自动方法,用于搜索节能AODV配置,以提高暂定解决方案评估的准确性。实验结果表明,可以获得对标准配置的显着功耗改善,在服务质量下没有值得注意的损失。

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