In mobile underwater acoustic communication networks, such as multiple autonomous underwater vehicles (multi-AUVs) networks, an autonomous surface vehicle (ASV) can serve as a surface sink, enabling the transmission of information from underwater networks to terrestrial wireless networks. To improve the quality of underwater acoustic communication links (ACLs) between underwater nodes and the ASV, this paper proposes a path planning method based on the signal-to-interference-plus-noise ratio (SINR). The method makes the ASV automatically adjust its position based on the SINR of the received packets to adapt to the movement of underwater nodes and enhance overall network performance. This approach utilizes an artificial potential field, where the SINR determines both the presence and the magnitude of the attractive force exerted by each node on the ASV. Simulation results in a collaborative detection task demonstrate that this method significantly improves network performance, including packet delivery ratio (PDR) and reception fairness, compared to geometric location-based path planning.