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2008
IEEE

Measuring Inhomogeneity in Spatial Distributions

9 years 4 months ago
Measuring Inhomogeneity in Spatial Distributions
Abstract—The spatial distribution of nodes in wireless networks has important impact on network performance properties, such as capacity and connectivity. Although random sample models based on a uniform distribution are widely used in the research community, they are inappropriate for scenarios with clustered, inhomogeneous node distribution. This paper proposes a well-defined measure for the level of inhomogeneity of a node distribution. It is based on the local deviation of the actual value of the density of nodes from its expected value. Desired properties of the measure are defined and mathematically proven to be fulfilled. The inhomogeneity measure is also compared to human perception of inhomogeneity gained via an online survey. The results reveal that the measure well fits human perception, although there are notable deviations if linear operations are applied.
Udo Schilcher, Michael Gyarmati, Christian Bettste
Added 01 Jun 2010
Updated 01 Jun 2010
Type Conference
Year 2008
Where VTC
Authors Udo Schilcher, Michael Gyarmati, Christian Bettstetter, Yun Won Chung, Young Han Kim
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