Wireless body area networks standard (WBAN, IEEE 802.15.6) is currently an active area of research. In this paper, we present the criteria for the selection of a modeling system which is most suitable for the WBAN research. The structural model of the WBAN node is given. We reviewed and compared existing open-source modeling systems, such as NS-2, NS-3, OMNeT++Castalia, OMNeT++MiXiM, TOSSIM. As a result Castalia network simulator was chosen for WBAN modeling.
The article presents the concept of networks on chip (NoC) as a promising alternative to the communication subsystem for multiprocessor systems with bus architecture. Various approaches to modeling NoC are given and as the necessary software tools to evaluate NoC performance parameters the structure and simulation software solution for WFC-networks with virtual channels, XY-routing and various topologies are proposed. The testing of the simulator is performed by the example of the simulation of dependence of the average number of hops, needed for packets passing the network, from the dimension of NoC for mesh and torus topologies.
Simulators of real-world IT systems are gaining popularity today. However, as it often happens in the early stages of technological readiness, the same term can be understood as different things - from visualisation systems to multi-level multi-agent models. The critical feature of the simulation technology is the degree of trust, or proximity of resemblance of their behaviour to the objects of simulation from the real world. The article presents for the first time an overview of a hybrid approach to modelling Storage attached networks (SAN), in which the parameters of an approximate simulator are dynamically adjusted using machine learning methods, i.e. reinforcement learning. Particular attention is paid to the analysis of the strengths and weaknesses of the existing approaches of simulation and comparison the hybrid approach presented in the article.