Isik, IbrahimIsik, EsmeAtes, Abdullah2024-08-042024-08-0420241300-18841304-4915https://doi.org/10.17341/gazimmfd.1296267https://hdl.handle.net/11616/102049Molecular Communication (MOC), a novel communication method between nano-sized devices, has gained attention in recent literature. Numerous MOC models have been utilized to analyze factors such as the number of molecules reaching the receiver and the molecule-interference ratio. However, a common trend observed in the existing MOC models is the predominant use of the Normal distribution function to describe the movement of carrier molecules within the diffusion medium. In contrast to the existing literature, this study aims to thoroughly investigate alternative distribution functions for the diffusion of molecules in the medium, taking into consideration the number of received molecules, in order to identify the MOC model with optimal performance. In this study, the performance of various distribution functions including extreme value distribution (EVRND), normal distribution (NRND), t-distribution (TRND), generalized extreme value distribution (GEVRND), and generalized Pareto distribution (GPRND) were compared using different system parameters to identify the best MOC model. The analysis revealed that the GPRND distribution exhibited the highest performance, while the NRND distribution demonstrated the lowest performance. Given the prevalent use of the NRND distribution in analyzing MOC models within the literature, the significance of this study is further underscored.eninfo:eu-repo/semantics/openAccessMolecular communicationsystem parameterdistribution functionsnumber of received moleculesArticle3942353236210.17341/gazimmfd.12962672-s2.0-85195825786Q2WOS:001272222700001N/A