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- W2053741537 abstract "Ad-hoc networks are independent of any infrastructure. The nodes are autonomous and make their own decisions. They also have limited energy resources. Thus, a node tends to behave selfishly when it is asked to forward the packets of other nodes. Indeed, it would rather choose to reject a forwarding request in order to save its energy. To overcome this problem, the nodes need to be motivated to cooperate. To this end, we propose a self-learning repeated game framework to enforce cooperation between the nodes of a network. This framework is inspired by the concept of “The Weakest Link” TV game. Each node has a utility function whose value depends on its cooperation in forwarding packets on a route as well as the cooperation of all the nodes that form this same route. The more these nodes cooperate the higher is their utility value. This would establish a cooperative spirit within the nodes of the networks. All the nodes will then more or less equally participate to the forwarding tasks which would then eventually guarantee a more efficient packets forwarding from sources to respective destinations. Simulations are run and the results show that the proposed framework efficiently enforces nodes to cooperate and outperforms two other self-learning repeated game frameworks which we are interested in." @default.
- W2053741537 created "2016-06-24" @default.
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- W2053741537 date "2012-04-01" @default.
- W2053741537 modified "2023-10-09" @default.
- W2053741537 title "Cooperation enforcement for packet forwarding optimization in multi-hop ad-hoc networks" @default.
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- W2053741537 doi "https://doi.org/10.1109/wcnc.2012.6214100" @default.
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