MEAN FIELD MODEL INTERACTION FOR COMPUTER AND COMMUNICATION SYSTEMS: MODELING AND ANALYSIS OF WIRELESS SENSOR NETWORKS

He modeling of wireless sensor networks can be considered as a large scale interacted entities, the analysis of this kind of systems is a very complex task, and the main field method is a powerful technique to solve this model. A modeling of a continuous time Markov chain has been focused; the main idea was to work on one entity and replace the others with an average or effective interaction, in this context to make the solution easier we consider a wireless sensor network as multi-body problem and we reduce it on one body problem, to show the potentialities of the technique we report examples of interacting Markovian queues.

Authors
Publisher
Санкт-Петербургский государственный университет телекоммуникаций им. проф. М.А. Бонч-Бруевича
Language
Russian
Pages
46-48
Status
Published
Year
2017
Organizations
  • 1 People's Friendship University of Russia
Keywords
complex interactions; continuous time Markov chain; mean field method; wireless sensor networks
Date of creation
10.07.2024
Date of change
10.07.2024
Short link
https://repository.rudn.ru/en/records/article/record/147998/
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