Phase Transitions in Wireless MESH Networks and Their Application in Early Detection of Network Coherence Loss

Abstract

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.

The Need for Cybersecurity in Industrial Revolution and Smart Cities

“…Some examples of developments stirring global debate are self-driving cars or increased supermarket automation. The development of these features has been catalyzed by advances in artificial intelligence as well as systems based on the collaboration of human and machine as resources to form a network that executes commands with an ability that is close to human intelligence [ 10 , 11 ]. With the incorporation of collaborative robots (cobots) into the manufacturing and production processes, simulation is now extensively used in operations to exploit real-time information in order to improve quality through the construction of virtual models [ 12 , 13 , 14 ].…”