Master data

Title: Using Randomization in Self-organized Synchronization for Wireless Networks
Subtitle:
Abstract:

The concept of pulse-coupled oscillators for self-organized synchronization has been applied to wireless systems. Putting theory into practice, however, faces certain obstacles, particularly in radio technologies that cannot implement pulses but use common messages for interactions between nodes. This raises the question of how to deal with interference between messages. We show that interference can disturb the synchronization process and propose low-complex, randomization-based techniques to address this issue. First, we demonstrate that randomly switching between two transmit power levels (without increasing the average power) can expedite synchronization. The high-power transmissions temporarily boost network connectivity with negligible impact on the average interference. Second, we reduce interference by blindly distributing the messages over the entire oscillator cycle. Instead of using a fixed oscillator phase at which the pulses are sent, each node chooses its own, randomly selected phase to send a synchronization message. This node-specific “fire phase” is contained in the message to permit others to compute the timing. Third, we suggest that such interference management can also be beneficial for other synchronization techniques and validate this claim using Glossy as an example. Our insights may contribute to feasible solutions for self-organized wireless synchronization. Further work is needed to gain a comprehensive understanding of the effects of randomization and to develop algorithms for the adaptability of local parameters.

Keywords: Pulse coupled oscillators, synchronization, self-organization, randomization, interference, stochastic geometry, IoT
Publication type: Article in journal (Authorship)
Publication date: 20.09.2023 (Online)
Published by: ACM Transactions on Autonomous and Adaptive Systems
ACM Transactions on Autonomous and Adaptive Systems
to publication
 ( ACM Digital Library; )
Title of the series: -
Volume number: 18
Issue: 3
First publication: Yes
Version: -
Page: pp. 1 - 20

Versionen

Keine Version vorhanden
Publication date: 20.09.2023
ISBN (e-book): -
eISSN: 1556-4665
DOI: http://dx.doi.org/10.1145/3605553
Homepage: -
Open access
  • Available online (open access)

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Vernetzte und Eingebettete Systeme
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
Austria
  -993640
   kornelia.lienbacher@aau.at
https://nes.aau.at/
To organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Categorisation

Subject areas
  • 101027 - Dynamical systems
  • 101019 - Stochastics
  • 102025 - Distributed systems
  • 202022 - Information technology
  • 202030 - Communication engineering
  • 202031 - Network engineering
  • 202038 - Telecommunications
Research Cluster
  • Self-organizing systems
Citation index
  • Science Citation Index Expanded (SCI Expanded)
Information about the citation index: Master Journal List
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: I)
Classification raster of the assigned organisational units:
working groups
  • Mobile Systems Group

Cooperations

Organisation Address
Lakeside Labs GmbH
Lakeside Science & Technology Park
9020 Klagenfurt
Austria - Carinthia
Lakeside Science & Technology Park
AT - 9020  Klagenfurt
Digital Factory Vorarlberg GmbH
Austria - Vorarlberg
AT  

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