一种基于能量约束的传感器网络动态数据融合算法

本文针对传感器网络具有能量约束、低速率冗余数据、网络拓扑易变的特点，提出了一种基于能量约束的动态数据融合算法。该算法首先利用不确定测度进行传感器的动态聚类分组，然后再对每一组通过能量约束选择关键点，通过各组的关键点构成一个连通的数据融合路径，完成传感器网络的数据融合，减少传输到目的节点的信息。实验结果证实，该算法在保证能量消耗少、网络拓扑结构可变的条件下，具有较好的实效性和鲁棒性。

Dynamic data fusion algorithm based on energy restraining in sensor network

Aiming at the characteristics of sensor network such as energy restraining,low-speed redundant data,variable network topology, a dynamic data fusion algorithm is introduced, which is based energy restraining. Firstly, the sensors are grouped into dynamic clusters according to uncertainty measure,and then a key node is selected in every group in terms of energy restraining. Finally,the key nodes of all groups compose a connected data fusion path,which finishes the data fusion of the sensor network and reduces the information that is transmitted to the destination. Experimental results demonstrate that the algorithm features good practicability, robustness and ensures low energy consumption and variable network topological structure.