摘要
针对原有质心定位算法精度低、锚节点比例过高的缺点,提出了基于接收信号强度(RSSI)的无线传感器网络质心定位算法。该算法将基于RSSI的测距值作为权重引入质心算法,通过仿真实验探寻算法模型最优权值,并运用迭代思想降低网络锚节点比例,同时采用测距校正、算法修正和设置RSSI阈值约束三种措施来控制算法误差。仿真表明,改进算法在定位精度、成本控制和环境适应性上优于原有质心定位算法。
To improve the positional accuracy and reduce the anchor node proportion of classic centroid localization algorithm,a new localization algorithm based on RSSI was proposed in this thesis.Firstly,the new algorithm introduced weighted centroid algorithm based on the distance.With conditions changing,the optimal weight was found through simulation.Secondly,the new algorithm introduced iterative thoughts to reduce the anchor nodes proportion.Finally,three measures are proposed to control the error of new algorithm.They are local distance correction,positioning error correction,and threshold setting.The simulation indicated that the new algorithm had better performance on positioning accuracy,cost control and environmental adaptability.
出处
《探测与控制学报》
CSCD
北大核心
2016年第2期103-108,共6页
Journal of Detection & Control
基金
浙江省教育厅科研项目资助(Y201534402)