Determination of the Optimal Base Station Location for Random Entity Mobility Models and Investigation of the Effect of the Number and Location of Base Stations on the Models

The primary objective of this study is to investigate the impact of base station placement on network efficiency through experimental analyses conducted on Random Entity Mobility Models (REMMs), which are commonly employed for mobile data collectors. Two widely adopted random mobility models from the literature Random Walk (RW) and Random Waypoint (RWP) are compared with two novel models -Random Point (RP) and Random Journey (RJ)- proposed by the author. The study is grounded in performance analyses conducted across varying area sizes and fixed node counts. The findings clearly demonstrate that base station location plays a critical role in determining model efficiency, and that identifying the optimal position significantly enhances system performance. This research makes an original contribution by offering a comprehensive evaluation of the most effective base station placements for four distinct mobility models. Among them, the RP model consistently achieves the highest efficiency across all simulation scenarios, underscoring its superiority in performance. Furthermore, the evaluation of base station positions reveals that while the central location yields the highest efficiency, random and right-side placements also emerge as viable alternatives. The study also highlights how the optimal layout evolves with an increased number of base stations and how these arrangements contribute to overall system performance improvements. By systematically analyzing the relationship between base station placement strategies and efficiency in mobile data transport systems, this study offers significant contributions to the field of REMMs. It also establishes a solid foundation for future research, particularly in scenarios involving multiple base stations and the exploration of effects in three-dimensional environments.