Stochastic Switching of Power Levels can Accelerate Self-Organized Synchronization in Wireless Networks with Interference
Studies on wireless network synchronization based on the theory of coupled oscillators largely ignore the interference caused by the in-band synchronization signals exchanged. We show that such interference can play a key role and find two basic 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. As a special case, one of the power levels can be zero, linking this approach to the known concept of stochastic coupling. Results suggest that a randomization of the coupling – e.g., using fewer but stronger synchronization signals – can have benefits for self-organizing synchronization under consideration of~interference.
Tue 28 SepDisplayed time zone: Eastern Time (US & Canada) change
11:45 - 12:50 | Theory and Practice of Self-* SystemsMain Track at AUDITORIUM 1 Chair(s): Ada Diaconescu LTCI Lab, Telecom Paris, Institute Politechnqie de Paris | ||
11:45 25mPaper | Stochastic Switching of Power Levels can Accelerate Self-Organized Synchronization in Wireless Networks with Interference Main Track Jorge Schmidt Alpen-Adria-Universität Klagenfurt, Udo Schilcher Alpen-Adria-Universität Klagenfurt, Arke Vogell Alpen-Adria-Universität Klagenfurt, Christian Bettstetter Alpen-Adria-Universität Klagenfurt Pre-print | ||
12:10 25mPaper | Swarmalators with Stochastic Coupling and MemoryKarsten Schwan Best Paper Award Main Track Udo Schilcher Alpen-Adria-Universität Klagenfurt, Jorge Schmidt Alpen-Adria-Universität Klagenfurt, Arke Vogell Alpen-Adria-Universität Klagenfurt, Christian Bettstetter Alpen-Adria-Universität Klagenfurt Pre-print | ||
12:35 15mShort-paper | Evolving Neuromodulated Controllers in Variable Environments Main Track Chloe Barnes Aston University, Anikó Ekárt Aston University, Birmingham, UK, Kai Olav Ellefsen University of Oslo, Kyrre Glette University of Oslo, Peter Lewis Ontario Tech University, Jim Tørresen University of Oslo |