基于加权质心算法的无线传感网络丢包节点定位技术  

Location Technology of Packet-dropping Nodes in Wireless Sensor Networks Based on Weighted Centroid Algorithm

作　　者：马潇菲 MA Xiaofei(Fuzhou University of International Studies and Trade,Fuzhou 350202,China)

机构地区：[1]福州外语外贸学院教务处,福建福州350202

出　　处：《通化师范学院学报》2024年第10期67-73,共7页Journal of Tonghua Normal University

摘　　要：针对无线传感网络中丢包节点的定位问题,提出一种基于加权质心算法的定位技术.分析无线传感网络节点分布和拓扑结构后,采用RSSI的测距模型改进加权质心算法,经测距模型将RSSI值转换成丢包节点与周围节点的距离,采用加权质心定位算法求解WSN丢包节点定位误差,以3个锚节点作为圆心,锚节点距离作为半径构建圆,计算3个圆交点的坐标后,求出由3个交点构建三角形的质心位置平均值,该值为WSN丢包节点定位坐标,实现无线传感网络丢包节点定位.实验结果表明:该方法应用效果较好,其平均转发率为98.18%,平均检测率为98.36%,能有效定位出WSN丢包节点,提高了WSN网络的稳定性,使得WSN数据传输更加可靠,保障了WSN数据传输质量.A localization technique based on weighted centroid algorithm is proposed to address the problem of packet loss node localization in wireless sensor networks.After analyzing the distribution and topology of wireless sensor network nodes,the RSSI ranging model is used to improve the weighted centroid algorithm.The RSSI value is converted into the distance between the packet loss node and the surrounding nodes through the ranging model.The weighted centroid positioning algorithm is used to solve the WSN packet loss node positioning error.Three anchor nodes are used as the center of the circle,and the distance between the anchor nodes is used as the radius to construct a circle.After calculating the coordinates of the intersection points of the three circles,it calculates the average centroid position of a triangle constructed from three intersection points,which is the positioning coordinates of WSN packet loss nodes,to achieve wireless sensor network packet loss node positioning.The experimental results show that this method has good application performance,with an average forwarding rate of 98.18% and an average detection rate of 98.36% respectively.It effectively locates WSN packet loss nodes,improves the stability of the WSN network,makes WSN data transmission more reliable,and ensures the quality of WSN data transmission.

关 键 词：加权质心算法 无线传感网络 丢包节点 定位技术 RSSI算法 网络拓扑结构 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]