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The state-of-the-art for optimal data-gathering in wireless sensor networks is to use additive increase algorithms to achieve fair rate allocation while implicity trying to maximize network utilization. For the quantification of the problem they present a receiver capacity model to capture the interference existing in a wireless network. The authors also provide empirical evidence to motivate the applicability of this model to a real CSMA based wireless network. Using this model, they explicitly formulate the problem of maximizing the network utilization subject to a max - min fair rate allocation constraint in the form of two coupled linear programs.
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