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作 者:郭晓雷[1] 秘建宁[1] 张宇[1] 张欣海[1]
出 处:《中国电子科学研究院学报》2016年第4期425-428,436,共5页Journal of China Academy of Electronics and Information Technology
摘 要:移动节点聚集检测是无线网络应用的一项新内容。为提高大规模目标区域内节点聚集检测的效率和准确度,提出一种基于位置感知和密度聚类的移动节点聚集检测方法。首先,通过无线定位技术来获取移动节点的位置坐标,此过程中,有偏最小二乘法可用于降低距离估计误差对定位的影响;其次,在将目标区域进行网格划分的基础上,采用密度聚类方法搜索节点聚集簇,并对相邻网格的节点相邻聚集簇进行合并;最后,输出节点聚集簇的区域及其包含的节点信息。仿真试验验证了方法在实际应用中的可行性和有效性。Mobile node aggregation detection is a new application of wireless networks. To improve the efficiency and accuracy of node aggregation detection in large area,a location- aware and density clustering based detection method is proposed. Firstly,the location coordinates of mobile nodes are obtained by wireless localization technology,in which,the biased least square method can be used to reduce the effect of distance estimation errors on localization. Secondly,the target area is divided into several sub-grids. On the basis,density clustering approach is utilized to search node aggregation clusters. Then,the aggregation clusters with neighboring core nodes in adjacent grids are merged into a bigger one. Finally,the regional information and relevant nodes of aggregation clusters are outputted as detection results. Simulation experiments demonstrate the effectiveness and application feasibility of the proposed method.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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