Modeling and analysis of random dense CSMA networks

The MAC (medium access control) of CSMA (carrier sense multiple access) is widely used in distributed wireless networks with random node locations. In CSMA MAC, two nodes that are within the range of one another cannot transmit packets simultaneously. Modeling the concurrently transmitting nodes is...

Full description

Saved in:
Bibliographic Details
Published in:EURASIP journal on wireless communications and networking 2018-05, Vol.2018 (1), p.1-17, Article 121
Main Authors: Sun, Yuhong, Li, Ruinian, Jiang, Honglu, Zheng, Jianchao, Ni, Lina
Format: Article
Language:English
Subjects:
Access control
Algorithmic Foundations of Wireless Networks
Communications Engineering
Computer simulation
CSMA
Density
Engineering
Fading
Hard core point process
Information Systems Applications (incl.Internet)
Mathematical models
Microprocessors
Model accuracy
Networks
Numerical analysis
Packet transmission
Signal,Image and Speech Processing
SIR
Stochastic geometry
Wireless networks
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The MAC (medium access control) of CSMA (carrier sense multiple access) is widely used in distributed wireless networks with random node locations. In CSMA MAC, two nodes that are within the range of one another cannot transmit packets simultaneously. Modeling the concurrently transmitting nodes is crucial for the performance analysis of the CSMA networks. In this paper, we study the density of concurrently transmitting nodes and propose another modification of classical hard core point process to accurately estimate the density of concurrently transmitting nodes, in the absence and in the presence of fading conditions. The MMHCP model we propose outperforms the popular Matérn type II model and the existing modified hard core point (MHCP) process model by avoiding the underestimation and alleviating the overestimation issues, respectively. We conduct extensive numerical analysis and simulations to evaluate the accuracy of our MMHCP model. Furthermore, we study the impact of the density of initial Poisson Point Process (PPP) and fading factor on the mean probability of successful reception and on the transmission capacity of networks from numerical analysis and simulations.
ISSN:1687-1499
1687-1472
1687-1499
DOI:10.1186/s13638-018-1107-4