摘要
针对DV-Hop算法定位精度依赖于节点分布的问题,提出一种基于高斯校正模型的改进算法。通过对节点RSSI值进行高斯修正及对每跳跳距进行加权,有效地降低了随机性及波动性对RSSI值的干扰,提高了测量精度,并解决了因节点分布不均而引起的测距误差,提高了算法的精度。仿真实验结果表明:该算法定位精度比原始算法及另外一种DV-Hop改进算法有明显的提高。
Aiming at the problem that the precision of the DV-Hop algorithm is affected seriously by the nonuniform distribution of nodes, this paper put forward an improved DV-Hop algorithm which is based on Gaussian correction model. In this algorithm, the RSSI was corrected by Gaussian correction model and the each hop was weighted, which effectively reduces the randomness and volatility on the RSSI value and improves the accuracy of measurement. The new algorithm reduces the ranging error which is caused by the nonuniform distribution of nodes. Simulation experimental result shows that the improved localization algorithm has higher precision than DV-Hop and another DV-Hop algorithm.
出处
《重庆理工大学学报（自然科学）》
CAS
2013年第12期68-71,共4页
Journal of Chongqing University of Technology：Natural Science
关键词
无线传感器网络
定位算法
高斯校正模型
Wireless Sensor Network（WSN）
localization algorithm
Gaussian correction model
