摘要
井下人员定位对于煤矿的安全管理和应急救援都非常重要,由于井下环境复杂,而质心定位算法受环境影响较小,因此在无线传感网络的节点定位中广泛应用。但传统质心算法精度较差,针对这种情况提出了一种改进质心定位算法,采用遗传算法对权值进行优化。仿真结果表明,经过遗传算法优化后,定位精度优于传统的质心算法。
Personnel positioning is very important for safety management and emergency rescue.As environment of underground is complex,while weighted centroid location algorithm is less affected by environment,so it is widely used in wireless sensor network positioning.But accuracy of traditional weighted centroid algorithm is poor.In order to solve this problem,this paper proposes an improved centroid location algorithm by using genetic algorithm to optimize weights.Simulation results show that,after genetic algorithm optimization,positioning accuracy is better than traditional centroid localization algorithm.
出处
《煤矿机械》
北大核心
2012年第8期76-78,共3页
Coal Mine Machinery
基金
教育部新世纪优秀人才支持计划项目(NCET-10-0002)
安徽省杰出青年基金项目(1108085J03)
淮南市科技计划项目(2011A07908)
关键词
无线传感网络
节点定位
加权质心算法
遗传算法
wireless sensor network
node positioning
centroid localization algorithm
genetic algorithm
