Zahid Ullah Khan, Aman Muhammad, Javed Khan, Sajid Ullah Khan, Irshad Ahmed Abbasi, Hassan Nazeer Chaudhry, Nazik Alturki, Sultan Alanazi
Underwater Wireless Sensor Networks (UWSNs) play a crucial role in diverse applications, including environmental monitoring, underwater exploration, aquatic life research, and military surveillance. Accurate localization of sensor receiver (Rx) nodes is essential for ensuring precise data collection and maintaining network reliability. This research offers a comprehensive examination of the challenges and advancements in UWSNs localization techniques, addressing the complexities of achieving accurate localization and presenting mathematical solutions for each issue. Furthermore, the paper introduces an innovative classification framework for localization techniques, dividing them into two primary categories: centralized and distributed approaches. Each category is further segmented into estimation based and prediction-based techniques, providing a structured perspective to improve the understanding of various localization methods in UWSNs. Additionally, localization algorithms are classified into two major types range free and range-based methods. The study provides an in-depth discussion of their core principles and real-world applications. It also reviews recent advancements in localization algorithms and techniques for UWSNs, highlighting cutting edge methods and their contribution in improving localization accuracy and efficiency. Moreover, mathematical and simulation-based analyses are employed to assess key localization algorithms, such as Centroid, Distance Vector Hop (DV-Hop), and Approximate Point in Triangle (APIT). A comparative evaluation of these algorithms is conducted using multiple performance metrics, offering valuable insights into their strengths and limitations. Lastly, the study explores future research directions and potential opportunities, emphasizing key areas for further innovation and development in UWSN localization. By providing a comprehensive analysis of existing localization approaches, this research lays the groundwork for future advancements in the aforesaid field, ultimately aiming to enhance the performance and reliability of UWSNs across various underwater applications.