由于水下传感器节点的水声通信距离有限、价格昂贵，水下传感器网络中一般采用稀疏方式部署，因此很难保证整体网络的连通性及数据采集效率。自主水下航行器AUV（Autonomous Underwater Vehicle）作为天然的移动数据采集平台，可以弥补固定Sink节点数据采集方式的缺陷。提出了一种基于移动AUV的水下传感网移动数据收集机制。以AUV覆盖区域内的传感器节点作为临时Sink节点，其他传感器节点以临时Sink节点为根节点，采用最小生成树MST（Minimum Spanning Tree）方法将传感数据传输到这些临时Sink节点，然后通过临时Sink节点将汇聚数据传输给AUV。随着AUV的自主移动轨迹，水下传感网的传感数据都能简单高效地被收集起来。仿真结果验证了该方法在保证网络能耗的前提下提高了数据采集效率。%Due to limited communication distance and high price of underwater acoustic nodes,underwater sensor networks are generally deployed in a sparse manner. Therefore,it is hard to guarantee overall network connectivity and data collection efficiency. AUV,which is a natural platform for mobile data collection,can overcome the short⁃comings of data acquisition with fixed Sink node. This paper proposed a mobile data collection mechanism with mo⁃bile AUV for underwater sensor networks. In the proposed mechanism,sensor nodes covered by AUV are regarded as temporary Sink nodes. The other sensor nodes transmit sensory data to temporary Sink nodes using minimum spanning tree(MST)transmission method. Finally,temporary Sink nodes gather data and deliver them to AUV. Along with the movement trajectory of AUV,sensory data of the whole networks can be collected in a simple and ef⁃ficient way. The simulation results verified that the proposed algorithm can improve data collection efficiency in the constraint of network energy consumption.
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