Mobile System’s Creditability Management in P2P Networks using Mamdani Fuzzy Inference Systems

نویسندگان

  • Sanjeev Shrivastava
  • Reena Thakur
چکیده

New mobile devices and mobile Internet applications are transforming the traditional concept of computing and user’s experience. Peer to peer (P2P) mobile systems are autonomous and decentralized systems. Each peer in the network is heterogeneous and is not fully reliable. In this paper it has been tried to estimate the creditability of each peer in the network using Mamdani Fuzzy Inference Systems. Application programs or user take decision on various things with the help of proposed fuzzy system. This paper is extension and implementation of fuzzy reference engine of a frame work [1] works at transport layer context system in the transport layer for an individual’s changing context. The proposed system is also useful in solving the large scale data dissemination problem by using creditability of mobile system user. Keywords-Mobile System, Fuzzy Inference System, P2P, Mamdani FIS, Creditability, QoS

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تاریخ انتشار 2014