A new spatial point process for multihop radio network modeling
Yuan-Po Cheng, Thomas G. Robertazzi
Abstract
Yuan-Po Cheng, Thomas G. Robertazzi
Abstract
A new point process for station location in multihop radio network modeling is introduced. This inhibition process, due to Matern (1960), provides a random placement of stations while maintaining a minimal distance between any two stations. Such minimal spacing can arise for applied reasons. A comparison of the characteristics of the inhibition process and the commonly used Poisson process is provided. The proposed model seems to have benefits in terms of intuition concerning the dependence of station locations. However, its chief use will probably be in network simulation. It is not as analytically tractable as the Poisson spatial point process.>
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A new point process for station location in multihop radio network modeling is introduced. This inhibition process, due to Matern (1960), provides a random placement of stations while maintaining a minimal distance between any two stations. Such minimal spacing can arise for applied reasons. A comparison of the characteristics of the inhibition process and the commonly used Poisson process is provided. The proposed model seems to have benefits in terms of intuition concerning the dependence of station locations. However, its chief use will probably be in network simulation. It is not as analytically tractable as the Poisson spatial point process.>
Key concepts: Point process, Poisson point process, Poisson process, Poisson distribution, Computer science, Intuition, Process (computing), Point (geometry)