Peak Age of Information in a Multicasting Network

With the increasing number of real-time monitoring networks, the relevance of the transmitted information has become an important characteristic. Examples of such networks include sensor networks that measure and transmit atmospheric pressure, temperature and other environmental parameters, unmanned vehicles that require up-to-date information about speed, position and acceleration, and other systems. In all of these applications, information becomes obsolete over time and loses its value. In this paper, a single-layer multicasting network with tree topology is constructed. A source generates updates containing information about the state of the remote system and sends them to the root node, which transmits them to n end nodes. The transmission is carried out using a stopping scheme with threshold k. The point of the stopping scheme is to stop transmitting the update to the remaining n-k nodes after the first k nodes acknowledge its receiving. The peak age of information (AoI) at the end nodes is of interest. The analysis is carried out using mathematical and simulation modelling. Approximate and exact formulas for the average peak AoI at the end nodes are obtained, which match the simulation results. The analysis shows that the use of stopping scheme not only improves the efficiency of radio resource utilisation by reducing the number of transmissions, but also reduces the AoI at the end nodes. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

Authors
Gaidamaka E. , Milyokhin A. , Gaidamaka Y. , Samouylov K.
Publisher
Springer Science and Business Media Deutschland GmbH
Language
English
Pages
364-375
Status
Published
Volume
15460 LNCS
Year
2025
Organizations
  • 1 Department of Probability Theory and Cybersecurity, RUDN University, 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation
  • 2 Federal Research Center “Computer Science and Control” Russian Academy of Sciences (RAS), 44-2 Vavilova St, Moscow, 119333, Russian Federation
Keywords
Age of information; Multicasting network; Peak age of information
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Kara M., Laouid A., Hammoudeh M., Makeeva E., Bounceur A.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH. Vol. 15460 LNCS. 2025. P. 480-487