Distance distributions in random networks

To account for stochastic properties when modeling connectivity in wireless mobile systems such as cellular, ad hoc and sensor networks, spatial point processes are used. Since connectivity can be expressed as a function of the distance between nodes, distance distributions between points in spatial...

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Bibliographic Details
Published in:Ad hoc networks 2012-08, Vol.10 (6), p.1146-1166
Main Author: Moltchanov, D.
Format: Article
Language:English
Subjects:
Bernoulli spatial process
Cellular
Cellular communication
Connectivity
Distance distributions
Mathematical models
Mobile communication systems
Networks
Poisson spatial process
Sensors
Spatial point processes
Stochasticity
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Summary:To account for stochastic properties when modeling connectivity in wireless mobile systems such as cellular, ad hoc and sensor networks, spatial point processes are used. Since connectivity can be expressed as a function of the distance between nodes, distance distributions between points in spatial processes are of special importance. In this paper, we survey those results available for distance distributions between points in two mostly used spatial point models, namely, the homogeneous Poisson process in R2 and independently uniformly distributed points in a certain region of R2. These two models are known for decades and various distance-related results have been obtained. Unfortunately, due to a wide application area of spatial point processes they are scattered among multiple field-specific journals and researchers are still wasting their time rediscovering them time after time. We attempt to unify these results providing an ultimate reference. We will also briefly discuss some of their applications.
ISSN:1570-8705
1570-8713
DOI:10.1016/j.adhoc.2012.02.005