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One formal way of studying cooperation and incentive mechanisms in wirelessad hoc networks is to use game theory. In this respect, simple interactionmodels such as the forwarder's dilemma have been proposed and usedsuccessfully. However, this type of models is not suited to account forpossible fluctuations of the wireless links of the network. Additionally, itdoes not allow one to study the way a node transmits its own packets. At last,the repeated game models used in the related literature do not allow theimportant scenario of nodes with partial information (about the link state andnodes actions) to be studied. One of the contributions of the present work isprecisely to provide a general approach to integrate all of these aspects.Second, the best performance the nodes can achieve under partial information isfully characterized for a general form of utilities. Third, we derive anequilibrium transmission strategy which allows a node to adapt its transmitpower levels and packet forwarding rate to link fluctuations and other nodesactions. The derived results are illustrated through a detailed numericalanalysis for a network model built from a generalized version of theforwarder's dilemma. The analysis shows in particular that the proposedstrategy is able to operate in presence of channel fluctuations and to performsignificantly better than existing transmission mechanisms (e.g., in terms ofconsumed network energy).

Efficient Packet Transmission in Wireless Ad Hoc Networks with Partially Informed Nodes