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Contending flows in multi-hop 802.11 wireless networks compete with two fundamental asymmetries: channel asymmetry, in which one flow has a stronger signal, potentially yielding physical layer capture, and topological asymmetry, in which one flow has increased channel state information, potentially yielding an advantage in winning access to the channel. Prior work has considered these asymmetries independently with a highly simplified view of the other. However, in this work, the authors perform thousands of measurements on coupled flows in urban environments and build a simple, yet accurate model that jointly considers information and channel asymmetries.
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