基于RSSI的无线传感器网络质心定位算法优化  被引量:7

Optimization of Centroid Localization Algorithm for Wireless Sensor Networks Based on RSSI

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作  者:姜文旭 柳迪 赵书锐 陈本志 魏胜非[1] JIANG Wen-Xu;LIU Di;ZHAO Shu-Rui;CHEN Ben-Zhi;WEI Sheng-Fei(School of Physics,Northeast Normal University,Changchun 130024,China)

机构地区:[1]东北师范大学物理学院,长春130024

出  处:《计算机系统应用》2022年第6期294-299,共6页Computer Systems & Applications

基  金:吉林省自然科学基金(20170101040JC)。

摘  要:为了提高无线传感器网络定位精度的准确性,对质心定位算法进行优化.在测距阶段,采用均值滤波和中值滤波相结合的方式对RSSI值进行预处理;在定位阶段,使用距离倒数的指数幂对质心加权;同时引入迭代的思想,解决了定位中锚节点密度不高的情况下,节点无法定位的问题.实验结果表明,本文改进的算法与质心定位算法和距离加权的质心定位算法相比,能够有效地提高无线传感器网络的定位精度.To improve the localization accuracy of wireless sensor networks, this study optimizes the centroid localization algorithm. In the ranging stage, received signal strength indicator(RSSI) values are preprocessed by both mean filtering and median filtering. In the localization stage, the centroid is weighted by the exponential power of the inverse distance.Furthermore, the idea of iteration is introduced to solve the problem that the nodes cannot be localized when the density of anchor nodes is low. The experimental results indicate that compared with the centroid localization algorithm and the distance-weighted centroid localization algorithm, the proposed modified algorithm can effectively improve the localization accuracy of wireless sensor networks.

关 键 词:无线传感器网络 质心定位算法 RSSI 节点定位 

分 类 号:TP212.9[自动化与计算机技术—检测技术与自动化装置] TN929.5[自动化与计算机技术—控制科学与工程]

 

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