Self-organizing synchronization

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Goal of the session: identifying research issues

Application areas

  • Smart grids
    • The goal is to balance the load across the network.
    • A phase-locked system is sufficient (not necessarily in-phase).
  • Wireless systems
    • Synchronization within 1% of the slot duration is sufficient.

Main general issues

  • Robustness to faulty nodes
    • Does the system return in place after a node fails/does not follow local rules?
  • Fault tolerance
  • Scalability
    • Hierarchical synchronization, i.e. clustering, can be applied on top of SO Sync to limit scalability issues.
  • Implementation
  • Synchronization as a primal form of coordination
  • Optimum solution
    • Finding a method that is most robust and scalable in meshed networks

Open issues

  • Better understanding of inhibitory behavior in meshed networks
    • Why is inhibitory coupling worse in sparse networks?
  • Dynamic networks
    • Hassler and Toroczkai, 2005 (distributing locals onto computers s.t. they finish computing at the same time)
    • Stochastic oscillators
  • MEMFIS
    • Mathematical proof for excitatory coupling in meshed networks. First clue in Restrepo and Ott paper, Phys. Rev. E
    • Time to synchrony increases with the network diameter
  • Discrete Kuramoto model