存在覆盖空洞的移动传感器网络中多维定标节点定位技术研究

The coverage holes in wireless sensor networks (WSNs) are adverse to distance estimation between nodes, which will lead to decrease of the localization accuracy. The research project, research of the multidimensional scaling localization technology in mobile wireless sensor network with coverage holes, will be conducted to optimize the distance estimation algorithm and multidimensional scaling nodes localization algorithm. At first, we analyses nodes’ geometrical distribution for WSNs with concave or convex coverage holes, and we can demarcate the special nodes around the coverage holes base on the connected information between nodes. Secondly, we modify the distance estimation error, produced by the coverage holes, based on REP theoretical. Thirdly, we obtain the distance values between nodes based on MAP-MDS theoretical. Then we establish a multi dimensional scaling nodes localization algorithm system in WSNs based on REP theoretical.

无线传感器网络中的覆盖空洞会对节点之间的距离估计产生重要影响，导致节点定位精度降低。本项目对含覆盖空洞的传感器网络中节点间的距离估计优化算法与多维定标定位系统技术进行研究，通过分析含凹、凸覆盖空洞的无线传感器网络中节点几何分布情况，实现基于网络的联通信息实现覆盖空洞边界节点的标定；引入REP方法修正因网络结构的奇异性导致的距离估计错误；基于MAP-MDS方法计算两节点间距离值，建立一种基于REP方法的距离估计优化及多维定标定位算法系统。

无线传感器网络中的覆盖空洞会对节点之间的距离估计产生重要影响，导致节点定位精度降低，本项目对含覆盖空洞的传感器网络中节点间的距离估计优化算法与多维定标定位系统技术进行了理论、模拟与实验研究。在理论研究方面，基于REP方法，我们开发了针对三种覆盖空洞条件下边界探寻及关键节点的标记、节点间几何距离的优化算法；在模拟研究方面，所建立的距离估计优化及多维定标定位算法系统数值模拟结果显示，所提出的算法使定位误差下降了80%；在实验研究方面，我们建立了面向无线传感器网络研究的实验测试平台，有效提高了含覆盖空洞的无线传感网络中节点定位精度。在本项目的资助下，共发表SCI收录论文6篇、EI收录论文1篇，超额完成全部研究任务。