摘要
为了有效抑制室内复杂环境对无线传感器网络节点定位精度的影响,以及降低室内定位系统对环境的依赖性,提出了一种自适应智能三边定位算法。该算法通过测量移动节点与各信标节点的距离值的波动情况,生成相应的自适应因子。该变化因子控制三边定位算法中距离半径的微调量,使3个定位圆的重叠部分的面积小于一定的数量级,然后在重叠区域中作最大内接圆,将圆心作为移动节点的位置。仿真结果表明该算法比加权三边定位算法具有更高的定位精度,鲁棒性好,能适应不同规模和类型的定位系统。
In order to effectively restrain the influence of indoor complex environment on the wireless sensor network nodes localization accuracy, and reduce the dependence of the indoor positioning system on the environment, a new adaptive intelligent trilateral localization algorithm is proposed. By measuring the fluctuation of the distance between the mobile node and the beacon nodes, the algorithm generates the corresponding adaptive factor. The variation factor controls the fine tuning of the distance radius in the trilateral localization algorithm, which makes the area of the overlapping part of the three positioning circles smaller than a certain precision. Then the maximum inscribed circle in the overlap region is plotted, and regards the center of the circle as the location of the mobile node. The simulation results show that the proposed algorithm has higher localization accuracy and better robustness than the weighted trilateral localization algorithm, and can adapt to different sizes and types of localization systems.
出处
《传感技术学报》
CAS
CSCD
北大核心
2017年第7期1089-1094,共6页
Chinese Journal of Sensors and Actuators
基金
电动车移动定位系统开发项目(81140156)
关键词
无线传感器网络
三边定位算法
自适应因子
最大内接圆
wireless sensor network
trilateral localization algorithm
adaptive factor
maximum inscribed circle