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A game theoretic trust model for on-line distributed evolution of cooperation in MANETs Mejía Fajardo, Marcela Peña Traslaviña, Néstor Muñoz Tapia, José Luis Esparza Martín, Óscar Alzate Monroy, Marco Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica Universitat Politècnica de Catalunya. SERTEL - Serveis Telemàtics Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors::Protocols de comunicació Ad hoc networks (Computer networks) Computer network protocols Game theory Protocols de xarxes d'ordinador Jocs, Teoria de Cooperation among nodes is fundamental for the operation of mobile ad hoc networks(MANETs). In such networks, there could be selfish nodes that use resources from other nodes to send their packets but that do not offer their resources to forward packets for other nodes.Thus,a cooperation enforcement mechanism is necessary. Trust models have been proposed as mechanisms to incentive cooperation in MANET sand some of them are based on game theory concepts. Among game theoretic trust models, those that make nodes’ strategies evolve genetically have shown promising results for cooperation improvement. However,current approaches propose a highly centralized genetic evolution which render them unfeasible for practical purposes in MANETs. In this article, we propose a trust model based on a non-cooperative game that uses a bacterial-like algorithm to let the nodes quickly learn the appropriate cooperation behavior. Our model is completely distributed, achieves optimal cooperation values in a small fraction of time compared with centralized algorithms,and adapts effectively to environmental changes. Postprint (published version) 2011-01-13 Article Mejía, M. [et al.]. A game theoretic trust model for on-line distributed evolution of cooperation in MANETs. "Journal of network and computer applications", 13 Gener 2011, vol. 1, núm. 34, p. 39-51. 1084-8045 https://hdl.handle.net/2117/12608 10.1016/j.jnca.2010.09.007 eng http://cataleg.upc.edu/record=b1209733~S1*cat Restricted access - publisher's policy 13 p. application/pdf