In this paper, we focus on the problem of maintaining significant levels of cooperation in peer-to-peer (P2P) networks of selfish adaptive peers. We propose a simple algorithm that maintains high levels of cooperation in such a network while performing the collective task of file sharing. The algorithm is adapted from novel "tag" models of cooperation that do not rely on explicit reciprocity, reputation or trust mechanisms. A sequence of three simulation models is presented - Starting with an abstract model of tag-based cooperation (Tag World) and finishing with a P2P file-sharing model (File World) that puts the technique to work. From analysis of extensive computer simulations, we demonstrate the technique to be scalable, robust, and decentralized; it requires no central servers or authorities. The algorithm is relatively simple: peers do not need to store additional trust information about other nodes or to perform significant additional processing. © 2005 IEEE.
CITATION STYLE
Hales, D., & Edmonds, B. (2005). Applying a socially inspired technique (tags) to improve cooperation in P2P networks. IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans., 35(3), 385–395. https://doi.org/10.1109/TSMCA.2005.846399
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