依托大数据平台,我省于2017年完成OTT(Over The Top)定位算法和指纹库定位算法大数据平台部署、MDT(Minimization of Drive-Test)数据采集处理,从而实现全量MRO(Measurement Report Original)、S1mme、S1uhttp、Mw、Sv等接口信令数据的...依托大数据平台,我省于2017年完成OTT(Over The Top)定位算法和指纹库定位算法大数据平台部署、MDT(Minimization of Drive-Test)数据采集处理,从而实现全量MRO(Measurement Report Original)、S1mme、S1uhttp、Mw、Sv等接口信令数据的经纬度关联回填,定位分析能力由基站/小区拓展到局部区域或具体楼宇。为了深挖定位信令数据价值,提升定位信令数据网络线条应用能力,我省建立基于定位信令大数据的网络线条分析应用体系。通过体系建设及支撑手段开发应用,有效提升网络优化工作效率,并带动网络优化工作向自动化、智能化的变革,更为定位数据拓展挖掘奠定了丰富的工作经验。展开更多
During range-based self-localization of Wireless Sensor Network (WSN) nodes, the number and placement methods of beacon nodes have a great influence on the accuracy of localization. This paper proves a theorem which d...During range-based self-localization of Wireless Sensor Network (WSN) nodes, the number and placement methods of beacon nodes have a great influence on the accuracy of localization. This paper proves a theorem which describes the relationship between the placement of beacon nodes and whether the node can be located in 3D indoor environment. In fact, as the highest locating accuracy can be acquired when the beacon nodes form one or more equilateral triangles in 2D plane, we generalizes this conclusion to 3D space, and proposes a beacon nodes selection algorithm based on the minimum condition number to get the higher locating accuracy, which can minimize the influence of distance measurement error. Simulation results show that the algorithm is effective and feasible.展开更多
文摘依托大数据平台,我省于2017年完成OTT(Over The Top)定位算法和指纹库定位算法大数据平台部署、MDT(Minimization of Drive-Test)数据采集处理,从而实现全量MRO(Measurement Report Original)、S1mme、S1uhttp、Mw、Sv等接口信令数据的经纬度关联回填,定位分析能力由基站/小区拓展到局部区域或具体楼宇。为了深挖定位信令数据价值,提升定位信令数据网络线条应用能力,我省建立基于定位信令大数据的网络线条分析应用体系。通过体系建设及支撑手段开发应用,有效提升网络优化工作效率,并带动网络优化工作向自动化、智能化的变革,更为定位数据拓展挖掘奠定了丰富的工作经验。
基金Supported by the National Natural Science Foundation of China (No.61003236 61171053)+2 种基金the Doctoral Fund of Ministry of Education of China (No.20113223110002)the Natural Science Major Program for Colleges and Universities in Jiangsu Province (No.11KJA520001)Science & Technology Innovation Fund for higher education institutions of Jiangsu Province (CXZZ12_0481)
文摘During range-based self-localization of Wireless Sensor Network (WSN) nodes, the number and placement methods of beacon nodes have a great influence on the accuracy of localization. This paper proves a theorem which describes the relationship between the placement of beacon nodes and whether the node can be located in 3D indoor environment. In fact, as the highest locating accuracy can be acquired when the beacon nodes form one or more equilateral triangles in 2D plane, we generalizes this conclusion to 3D space, and proposes a beacon nodes selection algorithm based on the minimum condition number to get the higher locating accuracy, which can minimize the influence of distance measurement error. Simulation results show that the algorithm is effective and feasible.
