ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)
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vol 62 / November, 2019
Article

DOI 10.17586/0021-3454-2017-60-2-143-149

UDC 681.3.06 (075.8)

ENERGY EFFICIENCY OF ERROR-CORRECTING CODING IN WIRELESS NETWORKS OF THE INTERNET OF THINGS

N. A. Verzun
St. Petersburg State University of Economics, Department of Applied Information Technologies;


M. O. Kolbanev
St. Petersburg State University of Economics, Department of Applied Information Technologies; Professor


A. M. Kolbanev
Perspectiva Limited, Department of Technical Customer Support; Head of the Department


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Abstract. The processes of communication and energy consumption by the smart things are considered. It is shown that the energy consumption of smart the things depends, among other reasons, on errorcorrecting coding methods, due to the influence of code used on volume of data transmitted over the network, and the complexity of the data block processing algorithms. An approach is proposed for choice of coding procedures, which not only provide reliable data transfer, but also consume a rational amount of energy. An attempt is made to develop a general approach to comparison and selection of methods of errorcorrecting coding of the data, considering not only the requirements to the quality of data delivery, but the volume of energy resources consumed. It is shown that traditional local networks use transfer procedures of error detection and retransmission of erroneous code words, that are not energy efficient. This is due to the fact that energy consumption by processors is less than energy costs associated with the transmission of code words through the physical medium of communication networks and, in particular, essential communication networks. In self-adjusting sensor networks used for smart things connection in the Internet of Things, application of coding procedures correcting errors and thus restricting the number of retransmissions of code words, is desirable. It is supposed that the obtained results may be useful for specialists studying the possibility of increasing the energy efficiency of information technologies, networks and systems.
Keywords: green technologies, energy effectiveness, energy costs, Internet of Things, smart thing, wireless network, error-correcting coding, error correction, error detection

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