摘要
针对基于接收信号强度指示的无线传感器网络加权质心定位算法在实际应用中计算复杂的缺点,提出一种改进型传感器网络加权质心相对定位算法(WCL-RSSI)。该算法主要采用参考节点精选机制和定位组合精选策略选择定位自评误差小的节点进行三边测距定位,以此重建定位权值函数来减小坐标定位误差,最后采用加权质心法计算坐标,并计算该节点的定位自评估误差。仿真实验表明,在同等计算复杂度下,该算法较传统定位方法的定位精度有了明显的提高。
Due to the computational complexity of weighted centroid localization algorithm for wireless sensor network based on strength indicator of received signal,an improved weighted centroid relative localization algorithm in wireless sensor network（WCL-RSSI） is proposed.The algorithm adopts reference node selection mechanism and positioning combination strategy to select the nodes of small self-assessment positioning error,which are used to trilateration position.Then it reconstructs the weight function to reduce the coordinates position error,and adopts weighted centroid method to compute coordinates and the self-assessment positioning error of the node.Simulation results show that,in the same computational complexity,this algorithm has higher positioning accuracy than traditional positioning method.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第28期22-24,60,共4页
Computer Engineering and Applications
基金
国家自然科学基金No.60974090
教育部博士点基金No.200806110016~~
关键词
无线传感器网络
三边测距
加权质心
相对定位
wireless sensor networks
trilateration
weighted centroid
relative positioning
