• DocumentCode
    698999
  • Title

    Optimization of RFID Based Wireless Navigation

  • Author

    Sherwani, Kashif I. K. ; Hooda, Neha ; Kumar, Neelesh

  • Author_Institution
    Deptt. of Electr. Eng., Jamia Millia Islamia, New Delhi, India
  • fYear
    2015
  • fDate
    13-14 Feb. 2015
  • Firstpage
    575
  • Lastpage
    578
  • Abstract
    The performance of wheelchair is based on avoidance of obstacles prematurely keeping the time constraint. As the wheelchair moves, the sensory system helps in avoiding the obstacles whereas RFID is used for localization. If the obstacles are permanent, every time sensory system will be used. Hence the optimization will be required to constraint the time taken and the distance travelled used by this sensory system. This paper proposes an algorithm to optimize the path planning with the help of an ant colony optimization. For navigation, path optimization is a critical combinatorial problem. The performance of an algorithm has been evaluated using the simulation approach. The performance is in terms of time taken to reach the destination and distance travelled. When the destination point is assigned the algorithm will evaluate the shortest distance in less time to reach to its destination.
  • Keywords
    ant colony optimisation; collision avoidance; combinatorial mathematics; radiofrequency identification; sensors; RFID based wireless navigation; ant colony optimization; critical combinatorial problem; obstacle avoidance; path planning; radiofrequency identification; sensory system; simulation approach; wheelchair performance; Mobile robots; Navigation; Optimization; Path planning; Radiofrequency identification; Wheelchairs; Ant Colony Optimization (ACO); Optimization; Radio Frequency Identification (RFID);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence & Communication Technology (CICT), 2015 IEEE International Conference on
  • Conference_Location
    Ghaziabad
  • Print_ISBN
    978-1-4799-6022-4
  • Type

    conf

  • DOI
    10.1109/CICT.2015.12
  • Filename
    7078768