摘要
目前,无线身体传感器网络被应用于煤矿井下救援系统中。文章针对自组织,自适应无线传感器网络设计和能源管理提出了一种多目标遗传算法,同时考虑到特定的应用需求,通信约束和节能特性,并以遗传算法作为优化工具。仿真结果表明,该方法能明显优化的电源管理,提高了网络负载平衡,并具有煤矿井下救援系统所要求的所有网络特性。
At present, the wireless body sensor network is applied in the coal mine underground rescue system. Based on self-organization, adaptive wireless sensor network design and energy management puts forward a multi -objective optimization method, and at the same time, considering the specific application requirements, communication constraints, and energy saving characteristics, and genetic algorithm as optimization tools. The simulation results show that this method can obviously optimize power management, improve the network load balance, and meet the coal mine underground rescue system requirement.
出处
《煤炭技术》
CAS
北大核心
2013年第10期154-156,共3页
Coal Technology
关键词
遗传算法
井下救援系统
无线身体传感器网络
网络负载平衡
genetic algorithm
mine underground rescue system
wireless body sensor network
network load balance
