Maximizing Throughput in IoUT Systems with Capture Effect: A Comprehensive Analysis

In this article, we explore the relationship between throughput and activation probability (pa) for different numbers of Internet of Things (IoT) users in a wireless network. We use a mathematical model to estimate the total number of users located within a half-sphere area below an OWC AP (Orthogonal Waveform Code) and determine the optimal value of pa that maximizes throughput.
The model considers parameters such as the number of users, activation probability, and type of water medium. We use a Bernoulli arrival process to represent the distribution of users in the half-sphere area. The article provides valuable insights into the design of an SA-based solution for IoUT communications, helping us understand how to optimize throughput by selecting the appropriate value of pa.
To calculate throughput, we use the probability of a user being active (P[Ua = k]) and the number of users (N) in the half-sphere area. The system reliability is calculated as 1 – Pout, which represents the percentage of successful transmissions.
The article emphasizes the importance of selecting the appropriate value of pa to maximize throughput, depending on the number of users and water type. By understanding these factors, we can design an effective SA-based solution for IoUT communications, ensuring reliable and efficient data transfer.
In conclusion, this article provides a mathematical framework for optimizing throughput in IoUT communications by selecting the appropriate value of pa based on the number of users and water type. By using a Bernoulli arrival process to model the distribution of users and considering factors such as activation probability and water medium, we can design an efficient SA-based solution that maximizes system reliability.