• DocumentCode
    2582775
  • Title

    Opportunistic Networks: Challenges in Specializing the P2P Paradigm

  • Author

    Lilien, Leszek ; Kamal, Z. Huma ; Gupta, Ajay

  • Author_Institution
    Dept. of Comput. Sci., Western Michigan Univ., Kalamazoo, MI
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    722
  • Lastpage
    726
  • Abstract
    We introduce the notion of opportunistic networks or oppnets, some of which can be considered a subclass of the peer-to-peer (P2P) networks. Initially, a relatively small seed oppnet is deployed, which grows into a bigger expanded oppnet. Oppnet growth starts with detecting diverse systems existing in its relative vicinity. Systems with best evaluations are invited by an oppnet to become its helpers. The oppnet leverages vast collective capabilities and resources of its helpers, employing them to execute diverse tasks in support of its goals. Though oppnet characteristics make them a natural fit for emergency response applications, we expect that they will prove beneficial in many other application areas. We discuss challenges in the development and use of the oppnet technology. Oppnets that use P2P interactions can be viewed as a specialization of the more general paradigm of P2P networks. To the best of our knowledge, we were the first to define and are now the first to investigate oppnets
  • Keywords
    peer-to-peer computing; emergency response applications; expanded oppnet; oppnet technology; opportunistic networks; peer-to-peer networks; seed oppnet; Ad hoc networks; Artificial intelligence; Computer networks; Computer science; Home appliances; Internet; Paper technology; Peer to peer computing; Privacy; Sensor phenomena and characterization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2006. DEXA '06. 17th International Workshop on
  • Conference_Location
    Krakow
  • ISSN
    1529-4188
  • Print_ISBN
    0-7695-2641-1
  • Type

    conf

  • DOI
    10.1109/DEXA.2006.107
  • Filename
    1698438