Underwater acoustic sensor networks are the efficient way to realize marine applications, which greatly rely on reliable data collection from underwater sensors. For this purpose, we exploit an autonomous underwater vehicle (AUV) as a mobile relay to reduce communication errors, and propose a frame error rate (FER)-based AUV relay algorithm. This algorithm will allow the AUV to avoid visiting the sensors that have sufficiently low FER to reduce cruising journey. For high-FER sensors, the AUV moves to the minimum-FER relay positions to relay their data. By analyzing the solution structure, we transform the FER minimization problem into an equation set to obtain the optimal relay position. The simulation verifies the validity of the equation set. Using the calculated optimal relay position, the FER-based relay achieves a lower average FER of data collection and lower energy consumption than the existing energy-consumption based relay algorithm.

中文翻译：

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水下声学传感器网络中基于移动中继的可靠数据采集


水声传感器网络是实现海洋应用的有效方式，其很大程度上依赖于水下传感器的可靠数据收集。为此，我们利用自主水下航行器（AUV）作为移动中继来减少通信错误，并提出了一种基于帧错误率（FER）的AUV中继算法。该算法将允许 AUV 避免访问 FER 足够低的传感器，从而减少巡航行程。对于高 FER 传感器，AUV 移动到最小 FER 中继位置以中继其数据。通过分析解结构，我们将FER最小化问题转化为方程组以获得最佳中继位置。仿真验证了方程组的有效性。使用计算出的最佳中继位置，基于FER的中继实现了比现有的基于能耗的中继算法更低的数据收集平均FER和更低的能耗。