Article or book title, author's surname, DOI

Statement problem forming a set of alternative routes mesh-network

V.A. Miklush1

research article UDC 004.738 Pages: 6-10 doi.org/10.18127/j20700784-202308-01

  1. 1 St. Petersburg State University of Aerospace Instrumentation (SUAI) (St. Petersburg, Russia)

Abstract

To ensure a high probability of data delivery, multipath routing is required – the presence of several paths from each source node to each destination node. The implementation of multipath routing, in turn, requires the deployment of a wireless sensor network with a mesh topology – a mesh network, which corresponds to the creation of a continuous sensor field.

The purpose of the work is to perform the formulation of the problem of choosing a set of alternative routes for data delivery, taking into account the characteristics of wireless sensor networks.

The problem statement proposed in the paper can be used to develop a method for choosing a set of alternative routes in a wireless sensor network with a mesh topology that ensures guaranteed data delivery from the source to the destination.

Received
05.07.2023
Approved after review
19.07.2023
Accepted
24.07.2023

How to cite

Миклуш В.А. Постановка задачи формирования множества альтернативных маршрутов mesh-сети // Успехи современной радиоэлектроники. 2023. T. 77. № 8. С. 6–10. DOI: https://doi.org/10.18127/j20700784-202308-01

References
  1. Snyder D.L. The State-variable Approach to Continuous Estimation with Applications to Analog Communication. Theory. M.I.T.Res. Monograph. Cambridge, Mass. 1969. 51(7,9,П).
  2. Hall D.L., Llinas J. An Introduction to Multisensor Data Fusion. Proceedings of the IEEE. 1997. V. 85. P. 6–23.
  3. Kolbanev M.O., Mikadze S.Yu., Tatarnikova T.M. Model' informatsionnogo vzaimodeystviya dlya predpriyatiy servisa. Izvestiya vysshikh uchebnykh zavedeniy. Priborostroenie. 2014. T. 57. № 9. S. 10–14. [in Russian]
  4. Wang C., Lin H., Jiang H. CANS: Towards congestion-adaptive and small stretch emergency navigation with wireless sensor networks. IEEE Transactions on Mobile Computing. 2015. V. 15. № 5. P. 1077–1089.
  5. Lysogor I.I., Voskov L.S., Rolich A.Y., Efremov  S.G. Energy efficient method of data transmission in heterogeneous network of the internet of things for remote areas. 2019 International Siberian Conference on Control and Communications, SIBCON 2019 - Proceedings. P. 8729647.
  6. Shavasha Alaa. Metodika dinamicheskoy marshrutizatsii v besprovodnykh komp'yuternykh setyakh na osnove arkhitekturno-tselevogo podkhoda. Diss. … k.t.n. 2012. M.: MESI. [in Russian]
  7. Cehanovsky V.V., Sovetov B.Y., Tatarnikova T.M. Detection system for the threats of the presence of hazardous substance in the environment. Proceedings of 2019 22nd International Conference on Soft Computing and Measurements, SCM 2019. P. 121–124.
  8. Tatarnikova T.M. Statisticheskie metody issledovaniya setevogo trafika. Informatsionno-upravlyayushchie sistemy. 2018. № 5 (96). S. 35–43. [in Russian]