• DocumentCode
    576802
  • Title

    Multi-decision Making Based PSO Optimization in Airborne Mobile Sensor Network Deployment

  • Author

    Li, Xuanya ; Ci, Linlin ; Yang, Minghua ; Wei, Hongyu ; Tian, Chengping ; Cheng, Bin

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Beijing Inst. of Technol., Beijing, China
  • fYear
    2012
  • fDate
    20-22 Sept. 2012
  • Firstpage
    128
  • Lastpage
    134
  • Abstract
    Airborne mobile sensor network, which is composed of sensor nodes integrated airborne vehicles, draws the attention of many interesting topics in multifarious areas, such as environmental monitoring, battlefield surveillance or disaster management. In this function specific network, some application based rules should be obeyed completely, such as signal jamming, collision avoiding, formation matching and flock centering. Different principles treat the overall arrangement as dissimilar coverage problems fromdifferent perspectives. In this paper, considering the above factors, we give a modeling under some new restrictions, measure each candidate solution and do a multi-decision making process, thus solving coverage requirement. In the end the simulation proves our mechanism.
  • Keywords
    autonomous aerial vehicles; decision making; particle swarm optimisation; sensors; PSO optimization; airborne mobile sensor network deployment; airborne vehicles; application based rules; collision avoiding; coverage requirement; flock centering; formation matching; multidecision making process; sensor nodes; signal jamming; unmanned aerial vehicles; Atmospheric measurements; Decision making; Jamming; Mobile communication; Mobile computing; Robot sensing systems; Vehicles; airborne mobile sensor network; coverage; multi-decision making; particle swarm optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded Multicore Socs (MCSoC), 2012 IEEE 6th International Symposium on
  • Conference_Location
    Aizu-Wakamatsu
  • Print_ISBN
    978-1-4673-2535-6
  • Electronic_ISBN
    978-0-7695-4800-5
  • Type

    conf

  • DOI
    10.1109/MCSoC.2012.16
  • Filename
    6354688