While wireless communication has many advantages and has become a general-purpose technology today, it is generally challenged by the medium (ionosphere, water, and so on). This paper discusses important work, showcasing methods for addressing challenges related to underwater wireless communication with line-of-sight (LOS) and nonline-of-sight (NLOS) classification approaches. This work has primarily adopted a system development life cycle with the support of conceptualization, algorithms, implementation with due cognizance of constraints and complexities, experimentation, simulations, and performance evaluation.

However, I was specifically looking for a benchmarking of the algorithm adopted. This could have been done through the related work discussed in the paper and how these related works have used algorithms. I was also expecting the influence of diffraction, reflections, and penetration by taking into account the effects of various noises and delay that can emerge through this type of propagation.

The many abbreviations and notations throughout the paper make it difficult to comprehend the scenario. In order to tackle this challenge, it would have been better to introduce discussions on a scenario that compares the presented performance vis-à-vis the approaches available with parametric evaluations. Such discussions would have certainly improved the work presented in the paper.

The strength of the paper, however, is in the form of sea trials. Through simulation and experimentation, this method will certainly attract the attention of academics, researchers, and practitioners interested in wireless communication.