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中文摘要：
传感器节点的部署直接关系到水下传感器网络的成本和性能。考虑到传感器节点间具有很强的协同能力,该文提出一种基于检测融合的部署策略。采用Neyman-Pearson准则融合单元网格内所有传感器节点的检测信息,实现正方形和正三角形两种单元网格的高效覆盖,进而分别给出针对两种单元网格的监测区域网格划分方法,从而确定监测区域需要的传感器节点数量以及放置的具体位置。通过仿真实验验证了该部署策略的有效性。结果表明,与不采用检测融合时相比,降低了传感器节点冗余度。使用相同数量的传感器节点,新的部署策略能够在保证一定感知质量的基础之上获得更大的覆盖范围。
英文摘要：
Sensor deployment is related directly to the cost and performance of underwater sensor networks. Considering great cooperative capability of sensor nodes, this paper presents a deployment strategy based on detection fusion. Neyman-Pearson criterion is adopted to fuse the detection information from all sensor nodes in one unit grid, which realizes highly efficient coverage for square and triangle unit grid. The grid plot methods of detection field are presented respectively for two types of unit grid. The number of sensor nodes to monitor the detection field and their locations are determined consequently. The effectiveness of proposed deployment strategy is verified by simulation experiments. The results indicate that sensor node redundancy is decreased in contrast to deployment strategy without detection fusion. With fixed quantity of sensor nodes, the new deployment strategy offers larger coverage area with the desired detection accuracy.
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