• DocumentCode
    3122576
  • Title

    Instant Advertising in Mobile Peer-to-Peer Networks

  • Author

    Chen, Zaiben ; Heng Tao Shen ; Xu, Quanqing ; Zhou, Xiaofang

  • Author_Institution
    Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD
  • fYear
    2009
  • fDate
    March 29 2009-April 2 2009
  • Firstpage
    736
  • Lastpage
    747
  • Abstract
    To explore the benefit of advertising instant and location-aware commercials that can not be effectively promoted by traditional medium like TV program and Internet, we propose in this paper a solution for disseminating instant advertisements to users within the area of interest through a mobile peer-to-peer network. This is a new application scenario, and we devise an opportunistic gossiping model for advertisement propagation with spatial and temporal constraints. As bandwidth and computational resources are limited in a wireless environment, two optimization mechanisms utilizing distance and velocity information are provided for reducing redundant advertising messages. User interest is also considered as another critical factor in adjusting the advertisement propagation model, and we adopt the FM algorithm to achieve efficient counting of distinct users´ interests. Finally, we study the performance of our solution through simulation in NS-2. Compared with the naive flooding method, our approach achieves high quality delivery rate while reducing the number of messages by nearly an order of magnitude.
  • Keywords
    advertising data processing; mobile computing; mobile radio; optimisation; peer-to-peer computing; FM algorithm; advertisement propagation model; instant advertising; location-aware commercial; mobile peer-to-peer network; opportunistic gossiping model; optimization mechanism; temporal constraint; user area-of-interest; Advertising; Data engineering; Information technology; Internet; Mobile computing; Peer to peer computing; Petroleum; TV; Telephone sets; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 2009. ICDE '09. IEEE 25th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    1084-4627
  • Print_ISBN
    978-1-4244-3422-0
  • Electronic_ISBN
    1084-4627
  • Type

    conf

  • DOI
    10.1109/ICDE.2009.14
  • Filename
    4812450