WSN中基于稀疏观测和异步传输的分布式实时定位算法

针对无线传感器网络（WSN）中现有集中式多维标度（MDS-MAP）节点定位算法在定位精度和分布式方面的不足，提出一种基于稀疏观测和异步传输的分布式实时定位算法。首先在传统MDS-MAP算法中融入稀疏观测机制，使其能够更好地符合实际观测场景；然后提出一种异步传输序列，使节点能够分布式计算距离观测，并通过分布式计算结果给出位置估计；最后通过提出的位置估计精化操作减小估计误差，最终实现节点的精确定位。实验结果表明，该算法具有较高的定位精度。

Distributed real-time localization algorithm based on sparse observation and asynchronous transmission in WSN

For the issues that the existing centralized multi-dimensional scaling（MDS-MAP）localization algorithms in wireless sensor network （WSN）have localization accuracy and distributed problem, a distributed real-time localization algorithm based on sparse observation and asynchronous transmission in WSN was proposed. Firstly, the sparse observation mechanism was fused into the traditional MDS-MAP algorithm to make it better conform to the actual observation scene. Then an asynchronous transmission sequence was used to enable the nodes can distribute computing distance and obtain the position estimation. Finally, the estimation error was reduced by an elaboration operation, and the precise positioning of the node was realized. The experimental results show that this algorithm has high positioning accuracy.