Development of the method of detecting and correcting data transmission errors in IoT systems for monitoring the state of objects

Abstract

The object of the study is the IOT system for monitoring the state of objects. The problem being solved is the development of an innovative method of detecting and correcting data transmission errors in the networks of Internet of Things systems. The essence of the results is that a method of detecting and correcting multiple transmission errors during byte-by-byte transmission of a block of information has been developed. The method is distinguished by an original coding scheme, which involves the calculation of control bits, as well as the shuffling of block bits by performing bit shift operations. The peculiarity of the method is that any bit can be distorted when transmitting a code word, but it belongs to different code combinations of the Hamming code. This allows multiple data transmission errors to be detected and corrected during decoding, and multiple errors of different bytes belonging to the same block can be corrected. Simple algorithms for encoding and decoding procedures have been developed, and programs for information block encoding procedures and decoding procedures with error detection and correction have been developed. A software model of the data transmission channel was also developed with the possibility of introducing multiple errors when simulating the data transmission process. All programs are developed in Python, although other languages are possible. An experiment was conducted using the developed software model of the data transmission channel. The efficiency of the developed method has been experimentally confirmed and it has been proven that its use increases the immunity of the data transmission channel. This is due to the fact that the developed method allows detecting and correcting all code word transmission errors with a multiplicity from 1 to 8, which was confirmed experimentally. The main field of use of the developed method is considered to be IoT system networks. First of all, systems for monitoring the state of objects