As part of the research work carried out in the area of the application of AI, VR and IoE methods in diagnostics, supervision and control of processes in Industry 4.0, the article was published:
A.Paszkiewicz, M. Bolanowski, P. Zapała: Phase Transitions in Wireless MESH Networks and Their Application in Early Detection of Network Coherence Loss, Applied Sciences, 9(24), 5508, 2019, https://doi.org/10.3390/app9245508
The paper focuses on the phenomenon of phase transitions related to changes taking place directly in a network structure; i.e., in physical topology. Although these changes are related to the physical layer, they directly affect the functioning of higher layers, and thus the quality and efficiency of network transmission. The research presented herein was focused in particular on phase transformations in MESH type wireless topologies. The dependence between the values of radius (transmitter power) nodes and the coherence of the MESH network is presented. These considerations are important for understanding the dynamics of processes occurring in topological structures, and for optimizing the use of power sources for individual nodes. The paper also presents the use of phase transition analysis for early detection of network coherence loss at the physical layer level. A new mechanism for assessing the level of network communication and an active method of preventing its failure using the arbiter and a set of limited diagnostic information are described. The solution presented can be used both in Internet of Things (IoT) systems and Industry 4.0 to create a high level of reliability wireless connection infrastructure between mobile and fixed devices.
Research in this area was carried out as part of task 2 of the project "RID" financed by the Ministry of Science and Higher Education.
