Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/21532
Title: Algorithms for distributing DSSS codes in industrial WSNs with real transmitters and narrow-band interference
Authors: Fedorenko, V. V.
Федоренко, В. В.
Keywords: Direct sequence spread spectrum code;Signal fading uncertainty;Bicriteria optimization;Interference;Industrial wireless sensor network;Hardware signal distortions
Issue Date: 2022
Publisher: Elsevier GmbH
Citation: Fedorenko, V., Samoylenko, I., Samoylenko, V., Rachkov, V. Algorithms for distributing DSSS codes in industrial WSNs with real transmitters and narrow-band interference // AEU - International Journal of Electronics and Communications. - 2022. - Том 154. - Номер статьи 154307. - DOI10.1016/j.aeue.2022.154307
Series/Report no.: AEU - International Journal of Electronics and Communications
Abstract: The versatility of simple electronic nodes and debugging of communication protocols in unlicensed frequency bands constitute the main reasons for the adoption of industrial wireless sensor networks (IWSNs). However, the industrial environments, in which IWSNs function, are characterized by a harsh impact of physical and electromagnetic factors that destabilize the operation of equipment and worsen the noise immunity of channels. To consider the effect of these two groups of factors on communication quality, we develop a novel model of an IWSN channel as the dependence of bit error probability (BEP) on signal distortions and interference impact. We found that direct sequence spread spectrum (DSSS) codes of a signal have different effects on the compensation of nonlinear signal distortions and external interference. Further, we propose an algorithm for the distribution of DSSS codes among real transmitters by BEP values in channels with known additive and multiplicative interference. Here, the distribution of codes is based on the minimax criterion. Finally, for cases when a signal is characterized by a-priori uncertainties of fading, we suggest an alternative algorithm for selecting a DSSS code based on Pareto bicriteria optimization.
URI: http://hdl.handle.net/20.500.12258/21532
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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