作　　者： ; ;

机构地区： 洛阳理工学院计算机与信息工程系

出　　处： 《计算机测量与控制》 2010年第9期2008-2010,2013,共4页

摘　　要： 在传统的矿井监测系统中,由于无线传感器网络节点分布相对比较分散,从而导致了定位精度不高和覆盖率较低等缺点,进而对采集温度、气体压力和瓦斯浓度等数据无法进行实时有效的监测;针对上述不足,首先对定位系统设计进行了分析与研究,提出多通道传输数据机制,然后利用贝叶斯概率模型改进Euclidean定位算法,去除了接收信号强度指示器随机波动,从而使信号强度最终达到平衡,提高了定位精度,有效地降低了节点位置的定位误差,进而确保了高效救援和井下作业的安全系数;实验结果证明:改进后算法具有更高的定位精度,验证了算法的有效性和正确性。 In traditional coal mine monitoring system,dispersion of wireless sensor network nodes results in some deficiency of low location accuracy and coverage.This also can not perform the real-time and effective monitoring on temperature,liquid pressure and gas density.Aiming to improving that deficiency,the author first analyzes the design of location system,then proposes multi-channel data transmission system,and finally adopts Bayesian probability model to improve Euclidean location algorithm.As a result,random fluctuation of RSSI is removed and signal strength finally reaches balance.Furthermore,the improved location algorithm enhances the location accuracy and decreases the locating errors of nodes effectively.Thus,efficient rescue and security under mines are guaranteed.Higher location accuracy and validity and correctness of the improved algorithm are proved by the experiment results.

关 键 词： 无线传感器网络 定位算法 监测系统 接收信号强度指示器

领　　域： [自动化与计算机技术] [自动化与计算机技术]