摘要
针对传统的RSSI测距模型的路径损耗参数固定,不能在环境变化后实时更新参数而导致测距精度不高的问题,提出一种新的无线传感器网络的定位算法。该算法能够根据环境情况动态估计路径损耗模型的参数,同时实时检测环境是否变化,环境变化后能自动的重新标定环境参数,使算法与实际的定位环境相吻合。通过在自行研发的基于CC2530为控制芯片的传感器节点上进行实验分析,实验表明,采用修正后的定位方案,明显提高了测距的精度,算法是有效可行的。
The RSSI( Received signal strength indicator) location technology is suitable for the requirements of wireless sensor network,there is no need to add any hardware facilities,lower communication costs and low cost,it can realize the wireless sensor network positioning. Based on the RSSI ranging model analysis,A new localization algorithm for Wireless Sensor Networks is proposed in this paper. The new algorithm can pretreatment used Gauss model to the node receives a RSSI value,then using the beacon node serves as the unknown node,we proposed an method based cooperative localization algorithm by adjusting the signal propagation model dynamically,build corresponding experience library. At the same time,it can real-time detection of environment changes and then automatic recalibration of environment parameters,it is suit for the actual position environment. Finally it is proved that based on the CC2530 wireless sensor node design is to prompt localization accuracy. The simulation results show that the algorithm is effective.
作者
龙海燕
张天飞
丁娇
梁美玉
张磊
LONG Haiyan;ZHANG Tianfei;DING Jiao;LIANG Meiyu;ZHANG lei(College of Electrical and Electronic Engineering,Anhui Institute of Information Technology,Wuhu 241000,China)
出处
《东莞理工学院学报》
2019年第1期23-27,共5页
Journal of Dongguan University of Technology
基金
2018年度专业核心课程建设项目(2018xjkcjs13)
关键词
无线传感器网络
接收信号强度
高斯模型
测距修正
wireless sensor network
received signal strength indictor
gauss model
range correction