IDENTIFICATION & RECOMMENDATION OF BEST & HIGH REPUTED USERS WITH INCENTIVES IN SPECTRUM RESOURCE ALLOCATION

Secondary Users share the Spectrum Resources from the Primary Users who are called Licensed Users. Secondary Users Purchase the Resources from the Primary Secondary Users cannot Purchase from Servers as it is Costly. But Reputation & Cost is the major Factor in this. In the PROPOSED SYSTEM, we deploy a Reputation Model and "Market Indicative Price" is Analyzed. Reputations of the Primary Users are analyzed from the feedback Provided by other Users, Secondary Users will Select the Best Primary Users based on the Reputation & Cost Fixation of them. The system Provides Incentives to the Secondary users for the Feedback provided by them about the Primary Users during their Resource Utility Process. In the MODIFICATION, Incentives are Provided for the High Reputation Valued Primary Users as well as they increase the Price for Resource Sharing to the Secondary Users. So this System will motivate all the Primary Users to Provide High Quality Services.

  • Project Category : IEEE Projects
  • Project Year : 2014-2015
  • Department
  • B.E(Computer Science) ,
  • Domain
  • Mobile Computing,
  • Technology
  • J2EE, J2ME, Java,
  • Avilable city
  • Chennai,

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AADHITYAA INFOMEDIA SOLUTIONS, T.NAGAR

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