基于权重系数自调整的加权质心定位算法  

The Weight Coefficient of Self Adjusting WeightedCentroid Localization Algorithm

作　　者：胡玉兰[1] 赵青杉[1] 李昂 HU Yulan;ZHAO Qingshan;LI Ang(Department of Computer Science and Technology,Xinzhou Normal University,XinZhou 034000,China)

机构地区：[1]忻州师范学院计算机系,山西忻州034000

出　　处：《忻州师范学院学报》2023年第2期1-6,共6页Journal of Xinzhou Teachers University

基　　金：山西省自然科学基金项目(202103021224330);忻州师范学院教学改革创新项目(JGYB202115)。

摘　　要：针对目前采用的经典加权质心定位算法,其定位节点的位置的精确度较低。文章通过RSSI测距结合加权定位提出一种基于权重系数自调整的加权质心定位算法。该算法进行多个节点位置的估算时采用经典质心算法,之后对多个估计位置利用优化权值的方法进行求值,最后明确节点位置所在。该算法是融合了RSSI测距的技术和经典质心算法的加权算法,操作更为容易。经过进行仿真实验,可以看出与经典的定位算法相比,该算法定位的精确度有比较明显的提升。In view of the classical centroid location algorithm,the precision of location node is low.Based on RSSI ranging combined with weighted positioning is put forward about the weight coefficient of self adjusting weighted centroid localization algorithm,the new algorithm is used when multiple nodes location estimate of the classic centroid algorithm,and then to estimate the multiple location by using the method of optimizing the weights for evaluation,and then finally clear node location.The algorithm is a combination of RSSI ranging technology and the classical centroid algorithm of the weighting algorithm,easier to operate.After simulation,it can be seen that compared with the traditional positioning algorithm,the positioning accuracy of the algorithm will be significantly improved.

关 键 词：无线传感器 加权质心 定位算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]