Paper Info
Title
Modeling Of Random Dense Csma Networks
Abstract
In Carrier Sense Multiple Access (CSMA) media access control (MAC), two nodes that are within the range of one another can not simultaneously transmit packets. Modeling the concurrently transmitting nodes is the key to analyzing the performance of a CSMA network. In this paper, we study the density of concurrently transmitting nodes and propose a Modification of Modified Hard Core Point (MMHCP) model to accurately estimate the density of concurrently transmitting nodes. Our MMHCP best the popular Matern CSMA model and the Modified Hard Core Point (MHCP) model by avoiding the underestimation and overestimation issues, respectively. We conduct extensive numerical analysis and simulations to evaluate the accuracy of estimation of our MMHCP. Furthermore, we study the impact of the density of initial Poisson Point Process (PPP) on the mean of aggregate interference. The simulation results demonstrate that our model is more accurate than MHCP and Matern CSMA.
Year
DOI
Venue
2017
10.1007/978-3-319-60033-8_7
WIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS, WASA 2017
Keywords
Field
DocType
CSMA, Stochastic geometry, Poisson point process, Density, Interference
Stochastic geometry,Media access control,Computer science,Network packet,Carrier-sense multiple access,Interference (wave propagation),Poisson point process,Numerical analysis,Distributed computing
Conference
Volume
ISSN
Citations 
10251
0302-9743
0
PageRank 
References 
Authors
0.34
11
4
Name
Order
Citations
PageRank
Yuhong Sun181.85
Tianyi Song2838.09
Honglu Jiang3102.93
Jianchao Zheng422316.21