• DocumentCode
    2725857
  • Title

    VIP delegation: Enabling VIPs to offload data in wireless social mobile networks

  • Author

    Barbera, Marco Valerio ; Stefa, Julinda ; Viana, Aline Carneiro ; De Amorim, Marcelo Dias ; Boc, Mathias

  • Author_Institution
    Sapienza Univ. of Rome, Rome, Italy
  • fYear
    2011
  • fDate
    27-29 June 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    We propose the use of opportunistic delegation as a data traffic offload solution to the recent boost up of mobile data consumption in metropolitan areas, by investigating two main questions: (i) “How to gain insights into social mobile networking scenarios?” and (ii) “How to utilize such insights to design solutions to alleviate overloaded 3G networks?”. The purpose of our solution is to leverage usage of mobile applications requiring large data transfers by channeling the traffic to a few, socially selected important users in the network called VIP delegates. The proposed VIP selection strategies are based on social network properties and are compared to the optimal solution (that covers 100% of users with minimum number of VIPs). Our extensive experiments with real and synthetic traces show the effectiveness of VIP delegation both in terms of coverage and required number of VIPs - down to 7% in average of VIPs are needed in campuslike scenarios to offload about 90% of the traffic.
  • Keywords
    3G mobile communication; mobile computing; social networking (online); telecommunication traffic; 3G networks; VIP delegation; data traffic offload solution; data transfers; metropolitan areas; mobile applications; mobile data consumption; wireless social mobile networks; Benchmark testing; Communities; Femtocells; Mobile communication; Mobile computing; Training; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing in Sensor Systems and Workshops (DCOSS), 2011 International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4577-0512-0
  • Electronic_ISBN
    978-1-4577-0511-3
  • Type

    conf

  • DOI
    10.1109/DCOSS.2011.5982141
  • Filename
    5982141