用进化算法优化车载网路由，省电又不丢质量
Evolutionary Power-Aware Routing in VANETs using Monte-Carlo Simulation
- 用进化算法+并行蒙特卡洛模拟自动找最优路由配置
- 相比标准配置能耗降低显著，服务质量基本不变
- 适合做车联网节能设计的工程师或研究人员参考
本文将车载网络中AODV路由协议的功耗降低问题视为优化问题。当前网络设计者普遍关注节能通信协议，尤其在无线网络部署中。本文提出一种自动搜索节能AODV配置的方法，结合进化算法与并行蒙特卡洛模拟，以提高候选方案评估的准确性。实验结果表明，相较于标准配置，可实现显著的功耗降低，同时服务质量无明显下降。
原文摘要 · Abstract (English)
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.
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