• DocumentCode
    3115143
  • Title

    Dynamicity to Save Energy in Microrobots Reconfiguration

  • Author

    Lakhlef, Hicham ; Mabed, Hakim ; Bourgeois, Julien

  • Author_Institution
    UFC/FEMTO-ST, Montbeliard, France
  • fYear
    2013
  • fDate
    18-21 Dec. 2013
  • Firstpage
    246
  • Lastpage
    253
  • Abstract
    In this paper we present a dynamic self reconfiguration protocol for MEMS micro robots. The protocol presented in this paper is without map of the target shape which makes it efficient and scalable. In other words, nodes do not store the positions that build the target shape. Consequently, memory usage for each node is reduced to a constant complexity. An algorithm of self-reconfiguration is deeply studied showing how to manage the dynamicity (wake up and sleep of micro robots)of the network to save energy. Our algorithm is implemented in Meld, a declarative language, and executed in a real environment simulator called DPRSim.
  • Keywords
    computational complexity; digital simulation; microrobots; network theory (graphs); power aware computing; robot programming; DPRSim; MEMS microrobot reconfiguration; Meld; constant complexity; declarative language; dynamic self reconfiguration protocol; energy saving; memory usage; real environment simulator; self-reconfiguration algorithm; target shape; Artificial neural networks; Complexity theory; Distributed algorithms; Heuristic algorithms; Protocols; Shape; Topology; Distributed Algorithms; Dynamicity; MEMS; Mobility; Physical Topology; Self-reconfiguration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Intelligence and Computing, 2013 IEEE 10th International Conference on and 10th International Conference on Autonomic and Trusted Computing (UIC/ATC)
  • Conference_Location
    Vietri sul Mere
  • Print_ISBN
    978-1-4799-2481-3
  • Type

    conf

  • DOI
    10.1109/UIC-ATC.2013.107
  • Filename
    6726216