基于遗传算法的煤矿无线身体传感器网络优化设计  

Design of Optimized Coal Mine Wireless Body Sensor Network Based on Genetic Algorithm

作　　者：宋传东[1] 

机构地区：[1]枣庄学院,山东枣庄277160

出　　处：《煤炭技术》2013年第10期154-156,共3页Coal Technology

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.

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 

分 类 号：TP393.02[自动化与计算机技术—计算机应用技术]