检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:张现利[1] 张丽翠[1] 朱晓男[1] 孟晓龙[1]
出 处:《吉林大学学报(信息科学版)》2014年第4期333-338,共6页Journal of Jilin University(Information Science Edition)
基 金:吉林省科技发展计划基金资助项目(201205093)
摘 要:为了利用无线传感器网络对物体实现更加精确的定位,通过对接收信号强度指示(RSSI:Received Signal Strength Indicator)定位算法进行仿真与性能分析,确定了算法的误差来源,讨论了未知节点的邻居锚节点密度对定位精度的影响。根据仿真和数据分析选取合适邻居节点的个数,进而采用了更加精细的算法即利用RSSI平均值选取最优值剔除失真数据,以提高定位的精确度。实验结果表明,在相同的环境下改进算法使定位误差由0~5 m减少到0~1 m,平均误差由1 m左右减少到0.1 m左右,提高了定位精度。In order to take advantage of the wireless sensor network to achieve more objects, the aims is to study and improve RSSI (Received Signal Strength Indicator) According to the simulation and performance analysis on RSSI localization algorithm, the precise positioning of localization experiment algorithm. determined the source of algorithm's errors. The influence of the number of neighbor bencon nodes on the positioning accuracy is discussed, and the appropriate number is selected according to the simulation figures and the data. Used the average value of RSSI to select the optimal value and eliminate the distortion data. The experimental results show that in the improved algorithm the localization error is reduced from 0 - 5 m to 0 ~ 1 m, and the average error is reduced from 1 meters down to 0. 1 m in the same environment, improving the localization accuracy.
关 键 词:无线传感器网络 定位算法 接收信号强度指示 精度
分 类 号:TN91[电子电信—通信与信息系统]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.16.56.30