摘要
在无线传感器网络(WSN)定位应用中,针对接收信号强度指示(RSSI)容易受到环境的影响不能实现准确测距的问题,提出了一种基于RSSI线性回归分析的定位方法。该方法通过信号衰减模型和线性回归理论相结合,修正实际环境下每个锚节点的测距模型,同时利用相关系数和剩余标准差对测距模型进行评估,制定出更加合理的定位策略。实验表明,采用修正的测距模型和新的定位策略,使得节点定位精度明显提高。
During the application domain of node localization in WSN（ wireless sensor networks）,RSSI（ signal strength indicator） is difficult to achieve accurate estimation with the influence of environment. Aiming at this issue,a new positioning method based on RSSI and linear regression is proposed. The method combines signal attenuation model with linear regression theory to correct each anchor node＇s range model in the real environment. Meanwhile we can evaluate the model and make the localization strategies correspondingly,utilizing the RSQ and residual standard deviation. The experimental results show that the modified range model and new positioning strategy,makes the node localization accuracy has improved significantly.
出处
《指挥控制与仿真》
2014年第3期13-18,共6页
Command Control & Simulation
基金
江苏省重点实验室开放基金项目(YCCK200901)
