摘要
无线传感器网络作为一种全新的信息获取手段,在众多领域有广泛的应用前景,节点自身的准确定位是无线传感器网络具体应用的前提和基础。提出一种基于ML E的AP IT定位算法,并从不同信标节点密度、节点通信半径以及网络平均连通度等方面与质心定位算法进行性能比较,仿真结果表明,该算法使得随机分布状况下节点定位的精度有很大的提高。
As a kind of novel technology about acquiring information, wireless sensor networks can be widely used in many fields, the accurate self-localization of nodes is the premise and foundation of the specific application. The paper presents an APIT localization algorithm based on the MLE and compares the performances with the centroid localization algorithm in terms of different anchor ratios, different communication radius of nodes and average neighbor number connectivity. The simulation results show that this localization algorithm can improve the localization accuracy to a great extent in the condition of nodes random distribution.
出处
《自动化与仪器仪表》
2012年第5期202-203,206,共3页
Automation & Instrumentation
基金
中央高校基本科研业务费专项资金项目(zyz2012058)
