• DocumentCode
    2224019
  • Title

    Towards swarming mobile devices

  • Author

    Afridi, Ahmad Hasan ; Ali, Muhammad

  • Author_Institution
    Center of Excellence in IT, Inst. of Manage. Sci., Peshawar, Pakistan
  • Volume
    6
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Abstract
    Emergency and disaster operation require the computing devices in the zone to operate smoothly and uninterruptedly i.e. they must have the capacity to tolerate faults in the disaster. The mobile computing during the disaster faces challenges such as network or service unavailability, mobile device hardware failure and user incapacity to compute. This paper proposes a novel method to address this issue by using a distributed intelligence method called swarm intelligence. The mobile devices collaborate through ad-hoc networks, stimulus response model and resource sharing to minimize the degraded computing system.
  • Keywords
    ad hoc networks; artificial intelligence; disasters; emergency services; fault tolerant computing; mobile computing; mobile radio; ad-hoc network; computing device; degraded computing system; disaster operation; distributed intelligence; emergency; fault tolerance; mobile computing; mobile device hardware failure; network unavailability; resource sharing; service unavailability; stimulus response model; swarm intelligence; swarming mobile devices; user incapacity; Adaptation model; Computational modeling; Fault tolerance; Microphones; Mobile communication; Robot kinematics; Service robots; Context Aware Computing; Disaster Management; Fault Tolerance; Swarm Intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2154-7491
  • Print_ISBN
    978-1-4244-6539-2
  • Type

    conf

  • DOI
    10.1109/ICACTE.2010.5579366
  • Filename
    5579366