Intelligent data processing methods in sensor networks of mobile and autonomous objects

• Published in: IOP conference series. Earth and environmental science 2021-09, Vol.857 (1), p.12001
• Main Authors: Ganin, D, Gladkikh, A, Dementiev, V, Kutuzov, V
• Format: Article
• Language: English
• Subjects: Cellular communication; Cognitive ability; Data processing; Data transfer (computers); Geographical distribution; Monitoring; Network reliability; Object recognition; Permutations; Reliability engineering; Rural areas
• ISSN: 1755-1307; 1755-1315
• DOI: 10.1088/1755-1315/857/1/012001

In the near term, tasks related to monitoring mobile geographically distributed objects with the aim of efficiently managing them are acquiring great importance. An example of such tasks is the monitoring the state of given number of vehicles of agricultural enterprise, when it becomes necessary to promptly transfer given amount of data with high requirements for the level of their reliability. The use of the infrastructure of cellular mobile networks for this is not suitable for a number of reasons for rural areas. The paper proposes an approach based on the use of high-speed dynamic sensor networks. This makes it possible to carry out relay transmission of data between objects, including mobile ones. However, the issues of building flexible data transfer protocols in networks of this kind, providing a significant data transfer rate and taking into account the priority of the transmitted information and its features, still remain open. At the same time, for mobile objects in conditions of non-stationarity of the parameters of communication channels, the problems of ensuring the required reliability of data are of particular importance. To solve the last problem, it is proposed to use the permutation decoding method based on the cognitive metaphor.