Model of Data Collection Control in the Internet of Things on the Basis of Social Network Technologies

Abstract The paper deals with the issues of data collection in the dynamic Internet of Things network. An approach proposed is based on the models and methods of social networks analysis along with clustering methods commonly used in this case. The developed hybrid model tracks contacts between node...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-05, Vol.1864 (1), p.12093
Main Authors: Zhukova, N A, Thaw, A M, Evnevich, E L
Format: Article
Language:English
Subjects:
Clustering
Data collection
Data transfer (computers)
Internet of Things
Nodes
Physics
Social networks
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Summary:Abstract The paper deals with the issues of data collection in the dynamic Internet of Things network. An approach proposed is based on the models and methods of social networks analysis along with clustering methods commonly used in this case. The developed hybrid model tracks contacts between nodes of the network thus creating “social relationships” for each node and estimates the number and the frequency of “social contacts” characterizing the degree of “friendships”. After fixing the contacts between nodes the model takes into consideration only the nodes connected by “friendship” relation. Data collection based on “social structure” provides higher security level and shows the enhancement as regards energy saving and delays of data transfer.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1864/1/012093