The exponential growth of devices connected to the Internet flogged need to improve methods of network management and recently has become one of the most difficult tasks. As a result of the rapid increase in devices connected to the Internet will increase a huge amount of traffic of today's networks. The ideology of software-defined networking will significantly automate and facilitate network management by allowing their programming. In this paper we consider the possibility of applying the concept of software-defined networking type systems of 'smart home'. Based on the laboratory test bed was conducted full-scale experiment and test results obtained. IoTDM controller has been developed and the various of Python scripts for data collection and analysis to the Internet of Things using the API. Through a series of experiments and processing of the results shows that the existing physical infrastructure with extensive IoTDM platform can be used by multiple applications without significant degradation of network resources, and therefore maintenance costs are reduced.

Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE Russia Section Young Researchers in Electrical and Electronic Engineering Conference, ElConRus 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages190-194
Number of pages5
ISBN (Electronic)9781509048656
DOIs
StatePublished - 24 Apr 2017
Event2017 IEEE Russia Section Young Researchers in Electrical and Electronic Engineering Conference, ElConRus 2017 - St. Petersburg, Russian Federation
Duration: 1 Feb 20173 Feb 2017

Publication series

NameProceedings of the 2017 IEEE Russia Section Young Researchers in Electrical and Electronic Engineering Conference, ElConRus 2017

Conference

Conference2017 IEEE Russia Section Young Researchers in Electrical and Electronic Engineering Conference, ElConRus 2017
Country/TerritoryRussian Federation
CitySt. Petersburg
Period1/02/173/02/17

    Scopus subject areas

  • Software
  • Environmental Engineering
  • Instrumentation
  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Biomedical Engineering

    Research areas

  • Internet of Tings, IoTDM, Software-defined networking

ID: 87325364