Master data

Title: Stochastic Switching of Power Levels can Accelerate Self-Organized Synchronization in Wireless Networks with Interference
Subtitle:
Abstract:

Studies on wireless network synchronization based on the theory of coupled oscillators largely ignore the interference caused by the in-band synchronization signals exchanged between nodes. We show that such interference can play a key role and gain two insights: First, increasing the node transmission power does not necessarily lead to faster synchronization. Second, synchronization can be accelerated by randomly switching between two power levels while maintaining the overall average power consumption. This approach temporarily boosts the network connectivity with negligible impact on the average interference. The special case with one of the power levels being zero links our approach to the known concept of stochastic coupling used in convergence proofs. In summary, our work suggests that a randomization of the coupling - e.g., using fewer but stronger synchronization signals - can have benefits for self-organizing synchronization in networks with interference.

Keywords: Pulse coupled oscillators, synchronization, self organization, randomization, interference, stochastic geometry, IoT
Publication type: Article in Proceedings (Authorship)
Publication date: 28.09.2021 (Online)
Published by: IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021)
IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021) (2021)
to publication
 ( IEEE Computer Society Press; )
Title of the series: -
Volume number: -
First publication: Yes
Version: -
Page: pp. 81 - 89

Versionen

Keine Version vorhanden
Publication date: 28.09.2021
ISBN (e-book):
  • 978-1-6654-1261-2
eISSN: -
DOI: http://dx.doi.org/10.1109/ACSOS52086.2021.00026
Homepage: https://ieeexplore.ieee.org/document/9659514
Open access
  • No 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
  • 202035 - Robotics
  • 202038 - Telecommunications
Research Cluster
  • Self-organizing systems
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

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