Earticle

초록

영어

The traditional Gossip protocol selects the neighbor nodes randomly. It does not consider the factors, such as the capacities of network transmission and node storage, which affect the network performance. It further causes the drawback of successful search ratio relatively lower, and also network transmission payloads have the characteristics of randomness. In this paper, to overcome those drawbacks of traditional Gossip protocol, a neighbor node selection algorithm has been studied, and various factors that may affect the neighbor node selection have been analyzed in P2P networks. A new neighbor node selection policy has been proposed, which is a reliable Gossip message transmission Protocol based on fuzzy theory. Empirical simulation experiments with various data analysis have demonstrated the improvement of efficiency of the proposed strategy on node selection and correctness of the proposed algorithm in P2P networks.

목차

Abstract
 1. Introduction
 2. Technical Background
  2.1. Traditional Gossip Transmission Protocol
  2.2. The Drawback of Traditional Gossip Protocol
  2.3. Fuzzy Theory
 3. The Implementation of Gossip Protocol Based on Fuzzy Theory
  3.1. MR-Gossip Message Transmission Protocol
  3.2. Node Selection Strategy Based on Fuzzy Theory
  3.3. Algorithm Implementation
 4. Numerical Results and Performance Analysis
  4.1. Simulator Environment
  4.2. Simulation Results
 5. Conclusions and Future Work
 References

저자

• Xunli Fan [ School of Information Science & Technology, Northwest University, Xi’an 70127 China ]
• Weiwei Zhang [ School of Information Science & Technology, Northwest University, Xi’an 70127 China ]
• Lin Guan [ Department of Computer Science, Loughborough University, Loughborough, LE11 3TU, UK ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605