Efficient Resource Search Mechanism in Selfish Mobile Peer-to-Peer Network

Authors

Liu Hao, 1. Institute of Information, Hunan University of Humanities, Science and Technology, Loudi 417000, China; ;
Xuelong Zhang, 2. Development of Electronic and Information Engineering, Changsha Normal University, Changsha 410100, China.;

Abstract

Abstract: Because of the influence of node's own state and other factors, the node in mobile P2P network often shows the selfishness and resource preference, which greatly affects the resource search efficiency of the network system. Aiming at this problem, a novel resource search mechanism was proposed based cooperation degree of nodes in selfish mobile Peer-to-Peer network. In the search mechanism, through the comprehensive evaluation of the node's information forwarding rate, the overall similarity and the core degree, the node with the highest degree of cooperation was selected as the relay node for information forwarding. At the same time, through the analysis of the node's subjective forwarding rate, this search mechanism established its incentive mechanism, which incentives the node to participate in resource search. Analysis and simulation show that the search mechanism can effectively improve the success rate of resource search in the whole system, reduce the average search length, and has better query performance.

Recommended Citation

Hao, Liu and Zhang, Xuelong (2020) "Efficient Resource Search Mechanism in Selfish Mobile Peer-to-Peer Network," Journal of System Simulation: Vol. 29: Iss. 5, Article 22.
DOI: 10.16182/j.issn1004731x.joss.201705022
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss5/22

First Page

1093

Revised Date

2016-10-11

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201705022

Last Page

1102

CLC

TP393

Recommended Citation

Liu Hao, Zhang Xuelong. Efficient Resource Search Mechanism in Selfish Mobile Peer-to-Peer Network[J]. Journal of System Simulation, 2017, 29(5): 1093-1102.

Corresponding Author

Xuelong Zhang,

DOI

10.16182/j.issn1004731x.joss.201705022