Title :
Incentive Mechanism Based on Game Theory in P2P Networks
Author :
Wang, Chunzhi ; Chen, Li ; Chen, Hongwei ; Zhou, Ke
Author_Institution :
Wuhan Univ. of Technol., Wuhan, China
Abstract :
Because of nodes in P2P networks are self-organization, part of nodes in P2P networks appear selfish and P2P sharing of network resources do not achieve the desired efficiency. This paper presents an incentive mechanism based on game theory integrate with Mixed Strategy Nash Equilibrium, it is used to detect selfish nodes in P2P networks and urge them to join the network nodes consciously. Finally, this incentive mechanism is verified to be availability with simulation tools named Gambit.
Keywords :
game theory; peer-to-peer computing; Gambit simulation tool; P2P networks; game theory; incentive mechanism; mixed strategy Nash equilibrium; peer-to-peer networks; Analytical models; Computer science; Games; Nash equilibrium; Peer to peer computing; Testing; Gambit; Game Theory; Mixed Strategy; Nash Equilibrium; P2P;
Conference_Titel :
Information Technology and Computer Science (ITCS), 2010 Second International Conference on
Conference_Location :
Kiev
Print_ISBN :
978-1-4244-7293-2
Electronic_ISBN :
978-1-4244-7294-9
DOI :
10.1109/ITCS.2010.53
