Title: A cooperation guarantee mechanism based on altruistic punishment for nodes in distributed environments
Authors: Jiaqi Liu; Guojun Wang; Zhigang Chen; Hui Liu
Addresses: School of Software, Central South University, Changsha 410083, Hunan Province, China ' School of Information Science and Engineering, Central South University, Changsha 410083, Hunan Province, China ' School of Software, Central South University, Changsha 410083, Hunan Province, China ' Department of Computer Science, Missouri State University, Springfield, MO 65897, USA
Abstract: Aiming at non-cooperation behaviours in highly distributed environments such as P2P systems, researchers have presented many algorithms and mechanisms based on traditional economic theories. The hypothesis of rational man is the basic assumption in traditional economic theories. The hypothesis means that any man is a rational man who is selfish and desires to maximise his needs or desires. However, researches on behaviour economics have proved by many demonstrations that the assumption of rational man is defective. Research achievements in demotics and other fields find that humans have a predisposition to punish those who violate group-beneficial norms, even when this imposes a fitness cost on the punisher. Based on the altruistic punishment, we present a whole new mechanism considering both rational nodes and irrational nodes in distributed environments reference from rational man and irrational man in social area without central controller. A mechanism based on altruistic punishment is proposed to improve the cooperation degree. Theory analysis and simulation results prove the ration and validity of this paper.
Keywords: distributed environments; cooperation guarantee; altruistic punishment; behavioural economics; rational nodes; irrational nodes; non-cooperation behaviour; P2P systems; peer-to-peer; simulation.
International Journal of Autonomous and Adaptive Communications Systems, 2017 Vol.10 No.1, pp.23 - 37
Received: 18 Sep 2013
Accepted: 12 Oct 2013
Published online: 09 Mar 2017 *