• DocumentCode
    169031
  • Title

    Cyclic network automata and cohomological waves

  • Author

    Yiqing Cai ; Ghrist, Robert

  • Author_Institution
    Inst. for Math. & its Applic., Minneapolis, MN, USA
  • fYear
    2014
  • fDate
    15-17 April 2014
  • Firstpage
    215
  • Lastpage
    224
  • Abstract
    Following Baryshnikov-Coffman-Kwak [2], we use cyclic network automata (CNA) to generate a decentralized protocol for dynamic coverage problems in a sensor network, with only a small fraction of sensors awake at every moment. This paper gives a rigorous analysis of CNA and shows that waves of awake-state nodes automatically solve pusuit/evasion-type problems without centralized coordination. As a corollary of this work, we unearth some interesting topological interpretations of features previously observed in cyclic cellular automata (CCA). By considering CCA over networks and completing to simplicial complexes, we induce dynamics on the higher-dimensional complex. In this setting, waves are seen to be generated by topological defects with a nontrivial degree (or winding number). The simplicial complex has the topological type of the underlying map of the workspace (a subset of the plane), and the resulting waves can be classified cohomologically. This allows one to “program” pulses in the sensor network according to cohomology class. We give a realization theorem for such pulse waves.
  • Keywords
    cellular automata; protocols; wireless sensor networks; CCA; CNA; awake-state nodes; cohomological waves; cyclic network automata; decentralized protocol; dynamic coverage problems; higher-dimensional complex; pusuit-evasion-type problems; simplicial complex; topological defects; wireless sensor networks; Automata; Games; Lattices; Protocols; Topology; Wireless sensor networks; Zinc;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing in Sensor Networks, IPSN-14 Proceedings of the 13th International Symposium on
  • Conference_Location
    Berlin
  • Print_ISBN
    978-1-4799-3146-0
  • Type

    conf

  • DOI
    10.1109/IPSN.2014.6846754
  • Filename
    6846754