Enhanced Faulty Node Detection with Interval Weighting Factor for Distributed Systems

Riesa Krisna Astuti Sakir, Sanjay Bhardwaj, and Dong-Seong Kim

112 34.34-42

10.23919/JCN.2021.000002

Abstract :This paper proposes an enhanced faulty node detection method using interval weighting factor, which monitors node behavior using pseudo-random Bose-Chaudhuri-Hocquenghem (BCH) code for distributed networked control systems. Master node collects the replacement of the cyclic redundancy check (CRC) codes by a single-bit BCH code of each slave node. However, BCH code can only obtain error position of the suspected faulty node without consideration of channel nodes. Hence, suspected error nodes are saved within the detected error interval and normalized using the weighting factor, which is carried out during sequential check, for interpretation. Fault judgement is carried out to adequately interpret the data, to guarantee detection accuracy of the detected error. The data is represented by statistical characteristic of the raw data and filtered data. This scheme can be applied to detect and prevent the severe damage by node failure. The simulation results prove the effectiveness of the interval faulty weighting factor, in obtaining raw data from the monitoring of the BCH code and filtered data, which are more accurate representation than the raw data. Moreover, the characteristics of the observed data were verified as the evaluation result of the suspected faulty node.

Index terms :BCH, CRC, distributed networked systems, fault judgement, faulty node detection.