Lili Qiu, Yin Zhang, Feng Wang, My Kyung han, and Ratul Mahajan
We develop a general model to estimate the throughput and goodput between arbitrary pairs of nodes in the presence of interference from other nodes in a wireless network. Our model is based
on measurements from the underlying network itself and is thus
more accurate than abstract models of RF propagation such as those
based on distance. The seed measurements are easy to gather, requiring only O(N) measurements in an N-node networks. Compared to existing measurement-based models, our model advances
the state of the art in three important ways. First, it goes beyond
pairwise interference and models interference among an arbitrary
number of senders. Second, it goes beyond broadcast transmissions and models the more common case of unicast transmissions.
Third, it goes beyond homogeneous nodes and models the general
case of heterogeneous nodes with different trafﬁc demands and different radio characteristics. Using simulations and measurements
from two different wireless testbeds, we show that the predictions
of our model are accurate in a wide range of scenarios.
Publisher Association for Computing Machinery, Inc.
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