• DocumentCode
    160737
  • Title

    Robust Parallel Redeployment Algorithm for MEMS Microrobots

  • Author

    Lakhlef, Hicham ; Bourgeois, Julien ; Mabed, Hakim

  • Author_Institution
    DISC, Univ. of Franche-Comte, Montbeliard, France
  • fYear
    2014
  • fDate
    13-16 May 2014
  • Firstpage
    1057
  • Lastpage
    1064
  • Abstract
    In this paper we propose a distributed and robust parallel redeployment algorithm for MEMS micro robots. MEMS micro robots are low-power and low-memory capacity devices that can sense and act. To deal with the MEMS micro robots characteristics, in this paper, we present an efficient redeployment algorithm without predefined positions of the target shape, which reduces the memory usage to a constant complexity. This algorithm optimizes the energy consumption by minimizing the amount of displacement and the number of messages. This solution improves the memory usage (number of states), the execution time and the number of movements by using movement of different micro robots at the same time. In addition, we show how to predict the number of movement for each node to make the algorithm robust.
  • Keywords
    computational complexity; microrobots; parallel algorithms; MEMS microrobot characteristics; constant complexity; displacement minimization; distributed robust parallel redeployment algorithm; energy consumption optimization; execution time; low-power low-memory capacity devices; memory usage improvement; memory usage reduction; target shape; Distributed algorithms; Micromechanical devices; Prediction algorithms; Protocols; Robustness; Shape; Topology; Distributed Algorithms; Logical topology; MEMS; Optimization; Parallel Algorithms; Redeployment; Self-reconfiguration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications (AINA), 2014 IEEE 28th International Conference on
  • Conference_Location
    Victoria, BC
  • ISSN
    1550-445X
  • Print_ISBN
    978-1-4799-3629-8
  • Type

    conf

  • DOI
    10.1109/AINA.2014.128
  • Filename
    6838781