摘要
移动无线传感器网络的节点定位算法中,基于RSSI的MCL定位算法利用接收信号强度的对数正态模型对定位的预测和滤波过程进行了改进,改善了定位性能,但是仍存在计算量较大、功耗较大等不足。因为物体的运动状态不会发生突变,因而可以利用前几个时刻的轨迹,预测当前时刻的运动参数。采用Hermite插值法,对当前时刻的运动轨迹作了很好的预测。仿真结果表明,该算法与传统的算法相比,减小了采样范围,提高了采样准确率,从而提高定位精度,降低功耗。
Among the localization algorithms for mobile wireless sensor network nodes, the RSSI-based MCL location algorithm using the received signal strength of the lognormal model improved prediction and filtering process of localization, and also im- proved positioning performance. However, there are still large amount of calculation and large power consumption, etc. Because the movement state of the object is not a mutation, it is possible to use the first few moments of the trajectory and the motion parame- ters of the current time could be predicted. This paper uses a Helrmite interpolation method, the trajectory of the cut＇rent moment made a good prediction. Simulation results show that compared with the conventional the algorithm, the sampling range is reduced, the sumpling accuracy is improved,and then the localization accurary is improved,the power consumption of the nodes is reduced.
出处
《电子技术应用》
北大核心
2015年第1期86-89,共4页
Application of Electronic Technique
基金
国家自然科学基金项目(61171190)
