
This paper reverse engineers backoff-based random-access MAC protocols in ad-hoc networks. We show that the contention resolution algorithm in such protocols is implicitly participating in a non-cooperative game. Each link attempts to maximize a selfish local utility function, whose exact shape is reverse engineered from the protocol description, through a stochastic subgradient method in which the link updates its persistence probability based on its transmission success or failure. We prove that existence of a Nash equilibrium is guaranteed in general. The minimum amount of backoff aggressiveness needed for uniqueness of Nash equilibrium and convergence of the best response strategy are established as a function of user density. Convergence properties and connection with the best response strategy are also proved for variants of the stochastic-subgradient-based dynamics of the game. Together with known results in reverse engineering TCP and BGP, this paper completes the recent efforts in reverse engineering the main protocols in layers 2-4.
Medium access control, Network utility maximization, Network control by pricing, 004, 510, Ad hoc network, Reverse engineering., Wireless network, Ad hoc network, Medium access control, Mathematical programming/optimization, Network utility maximization, Game theory, Network control by pricing, Reverse engineering., Mathematical programming/optimization, Wireless network, Game theory
Medium access control, Network utility maximization, Network control by pricing, 004, 510, Ad hoc network, Reverse engineering., Wireless network, Ad hoc network, Medium access control, Mathematical programming/optimization, Network utility maximization, Game theory, Network control by pricing, Reverse engineering., Mathematical programming/optimization, Wireless network, Game theory
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