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Methods of Traffic Distribution in a Heterogeneous High-Density Internet of Things Network

Andrey Koucheryavy, Darina Okuneva, Alexander Paramonov, Fengming Huang

Year
2024
Citations
2
Access
Open access

Abstract

The paper presents a model and method for distributing traffic in a heterogeneous Internet of Things (IoT) network built on the basis of complex communication channels consisting of several subchannels using various signal transmission technologies, for example, radio, optical and acoustic. The developed methods for distributing traffic across subchannels of a heterogeneous IoT network make it possible to solve the problem of increasing network efficiency through the use of heterogeneous resources. The result of the study is methods of traffic distribution in the form of optimization problems for various solution search strategies. The results obtained can be used to build heterogeneous IoT networks and networks of robotic systems.

Keywords

Computer scienceInternet of ThingsDistribution (mathematics)Computer networkInternet trafficThe InternetComputer securityWorld Wide WebMathematics

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