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

In the EXISTING SYSTEM, Secondary Users share the Spectrum Resources from the Primary Users who are called Licensed Users. Secondary Users Purchase the Resources from the Primary Users rather from Servers as it is a Costly Affair. 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 Provided by other Users, based on the Reputation value & Cost Fixation, Secondary Users will Select the Best Primary Users for Resource Lending. Apart from this Incentives are Provided for the Users for their Feedback & input Reputation Value of Primary Users. In the MODIFICATION, Incentives are Provided for the High Reputation Valued Primary Users, so that they can sell their Resources at High Cost to the Primary Users when compared to other Normal Users.

  • Project Category : IEEE Projects
  • Project Year : 2014-2015
  • Department
  • B.E(Computer Science) , B.E(Electrical and Electronics Engg), B.E(Electronics and Communication), B.E(Information Technology),
  • Domain
  • Mobile Computing,
  • Technology
  • .Net,
  • Avilable city
  • Chennai,

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AADHITYAA INFOMEDIA SOLUTIONS, T.NAGAR

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