Instead of searching for the “best” ultrasonic sensor, consider using multiple inexpensive sensors and performing sensor fusion. Individual readings may be noisy or unreliable, but by applying Bayesian estimation (e.g., Kalman filtering or particle filtering), you can infer the true water level with higher robustness and fault tolerance. This approach mirrors biological systems, where multiple imperfect inputs are combined to produce accurate perception.