Abstract: This paper proposes a new dynamic topology control method for addressing the problem of low network coverage and connectivity caused by underwater sensor nodes moving with ocean currents. During the node deployment phase, an expected deployment location is calculated using simulated annealing algorithm, and the actual deployment location is predicted using the meandering current mobility model.With this method, the nodes can maintain network-wide connectivity and high coverage without consuming additional energy to adjust their own positions. During the topology optimization phase, the autonomous underwater vehicle executes the efficient topology optimization strategy based on real-time node conditions with the goal of maximizing network lifespan. Simulation results show that compared to existing schemes such as CDA, SLO, and random deployment, the proposed new method achieves better coverage and average node degree while maintaining full connectivity. Node survival rate and packet transmission success rate are improved by 11.6% and 11.53% respectively, effectively enhancing network lifespan.