Abstract:This paper reviews node failure detection method in ZigBee loop network. ZigBee network was popularly used for low power and low cost implementation of wireless data transmission. Node failure detection is needed in order to maintain the network reliability. Common node failure detection methods are based on ZigBee mesh networking capability. But in many application areas which have simple loop topology, ZigBee will not get much benefit from its mesh networking capability. We propose a multicast ping with dual… Show more
“…In [29], a simple multicast ping mechanism for detecting damaged nodes in the ZigBee network is presented. In [30], failure detection in the mesh network was based on the use of artificial neural network.…”
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.
“…In [29], a simple multicast ping mechanism for detecting damaged nodes in the ZigBee network is presented. In [30], failure detection in the mesh network was based on the use of artificial neural network.…”
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.
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