• DocumentCode
    2306596
  • Title

    Negotiation-based service self-management mechanism in the MANETs

  • Author

    Chen, Kan ; Qiu, Xuesong ; Yang, Yang ; Rui, Lanlan

  • Author_Institution
    Sch. of Comput. Sci., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2011
  • fDate
    21-23 Sept. 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Since there is no central management center in the MANETs, nodes need to self-manage service provided by other nodes. To pursue maximal utilities, they should be able to negotiate autonomously for services, e.g., packets transmission, information share. While some selfish mobile nodes in MANETs are unwilling to provide services for other users, it directly leads to serious decline in network performances. Hence an effective negotiation mechanism is required to stimulate them to cooperation. In this paper, we present a service-oriented negotiation model between selfish nodes in view of one-to-many application scenarios, driven by the basic intuition that negotiators tend to maximize their individual payoffs while ensuring that an agreement is reached. We develop the genetic algorithm to make the negotiation more adaptive in the MANETs. The simulation results show that the algorithm reduces energy consumption and communication traffic in deed.
  • Keywords
    mobile ad hoc networks; mobility management (mobile radio); MANET; communication traffic; energy consumption; negotiation based service self management mechanism; negotiation mechanism; self manage service; Ad hoc networks; Energy consumption; Genetic algorithms; Learning systems; Mobile computing; Protocols; Radiation detectors; Fitness; MANETs; Service-oriented Negotiation; bidding strategy; genetic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium (APNOMS), 2011 13th Asia-Pacific
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4577-1668-3
  • Type

    conf

  • DOI
    10.1109/APNOMS.2011.6077020
  • Filename
    6077020