DocumentCode :
3073780
Title :
A novel network simulator based on stochastic spatial models
Author :
Skrebtsov, Andrey ; Zijian Bai ; Bruck, Guido H. ; Jung, Peter
Author_Institution :
Dept. of Commun. Technol., Univ. of Duisburg-Essen, Duisburg, Germany
fYear :
2013
fDate :
16-18 Dec. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Wireless ad hoc networks have been of significant interest in the communications engineering field within the last decades. Due to their flexibility and relatively low infrastructure and front end expenses, wireless ad hoc networks promise a wide application spectrum. To understand their expected performance, interference limited scenarios must be considered and an interference analysis based on the spatial distribution of the network nodes is necessary. This analysis must cover the randomness of this spatial distribution. The authors have considered the stochastic geometry tools as basic means for this analysis. The randomness of the individual spatial distribution realizations can thus be decoupled from the interference analysis by collecting the statistics over multiple particular spatial network distributions, which eases the analysis. In this manuscript the authors illustrate a simulation framework for the investigation of the performance of wireless ad hoc networks. The simulation results for the various spatial node densities are discussed for both distribution types by taking the interference limited scenarios into account. Also, theoretical performance bounds are shown which allow the verification of the stochastic simulation.
Keywords :
ad hoc networks; stochastic processes; interference analysis; network nodes; network simulator; spatial distribution; spatial network distributions; stochastic simulation; stochastic spatial models; wireless ad hoc networks; Distribution functions; Graphical models; Interference; Mobile ad hoc networks; Receivers; Simulation; Stochastic processes; Cluster Poisson Process; Interference; Outage Probability; Point Poisson Process; Poisson Distribution; Stochastic Geometry; Stochastic Spatial Distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communication Systems (ICSPCS), 2013 7th International Conference on
Conference_Location :
Carrara, VIC
Type :
conf
DOI :
10.1109/ICSPCS.2013.6723927
Filename :
6723927
Link To Document :
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