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EN
This paper proposes three methods of the optimal smart meter selection for acting as a data concentrator in the automatic meter reading last mile network. The study explains the reasons why the selected smart meter should also act as a data concentrator, in addition to its basic role. To select the smart meter, either the reliability of communication or the speed of the automatic meter reading process was considered. Graph theory is employed to analyse the last mile network, described as sets of nodes and unreliable links. The frame error ratio was used to assess the unreliability whilst the number of hops was used to describe the speed of the reading process. The input data for the analysis are qualitative parameters determined based on observations in the real, operated last mile networks as well as their typical topological arrangements. The results of the research can be useful in the last mile network migration process, which uses concentrators to the networks without them, or during the process of newer last mile network implementation, where data concentrators are no longer applicable. The efficiency of the proposed methods is assessed measurably.
EN
In the Industrial Internet of Things, a wide variety of sensors are distributed all over the environment to monitor data collection, thereby allowing industrial processes to be monitored more efficiently. One of the fundamental goals of IIoT is to provide the highest level of reliability while simultaneously increasing network lifetime, reducing power consumption, and preventing delays. 6TiSCH is a popular communication standard relied upon in IIoT. The aim of the present study is to propose an inter-layer method that simultaneously considers network scheduling and routing processes based on TSCH and RPL approaches in multi-sink environments. The proposed method is intended to address the limitations of IIoT and meet the requirements of field-specific applications.
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