• DocumentCode
    2671524
  • Title

    A Methodology to Predicate Human-Being´s Movement Based on Movement Group

  • Author

    Guo, Zhe ; Yan, Zheng ; Wang, Furong

  • Author_Institution
    Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2010
  • fDate
    18-20 Dec. 2010
  • Firstpage
    612
  • Lastpage
    619
  • Abstract
    Individual mobility is a popular research topic in mobile communications. One interesting question is: is the movement of human-beings independent although they may not want to follow with each other? This paper explores the phenomenon of group movement by analyzing the traffic variance among cellular base stations. We find that the entropy of group movement is less than the sum of individual´s and the trajectory of group movement is somehow steady. Applying this conclusion, we proposed a methodology to predict a user´s location based on group movement. Our verification based on real mobile user data shows that this method has sound accuracy.
  • Keywords
    mobile computing; cellular base stations; human-being movement predication; individual mobility; mobile communications; movement group; traffic variance; user location; Conferences; Social network services; entropy; location prediction; movement group; real data mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2010 IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom)
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-9779-9
  • Electronic_ISBN
    978-0-7695-4331-4
  • Type

    conf

  • DOI
    10.1109/GreenCom-CPSCom.2010.65
  • Filename
    5724895