TY - BOOK
T1 - Throughput analysis in CSMA/CA networks using continuous time Markov networks : a tutorial
AU - Bellalta, B.
AU - Zocca, A.
AU - Cano, C.
AU - Checco, A.
AU - Barcelo, J.
AU - Vinel, A.
PY - 2014
Y1 - 2014
N2 - This book chapter introduces the use of Continuous Time Markov Networks (CTMN) to analytically capture the operation of Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) networks. It is of tutorial nature, and it aims to be an introduction on this topic, providing a clear and easy to follow description. To illustrate how CTMN can be used, we introduce a set of representative and modern scenarios, such as Vehicular Ad-hoc Networks (VANETs), Power Line Communication networks and multiple overlapping Wireless Local Area Networks (WLANs). For each scenario, we describe the specific CTMN, obtain the stationary distribution of the CTMN and compute the throughput achieved by each node in the network. Taking the per-node throughput as reference, we discuss how the complex interactions between nodes using CSMA/CA affect the system performance.
AB - This book chapter introduces the use of Continuous Time Markov Networks (CTMN) to analytically capture the operation of Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) networks. It is of tutorial nature, and it aims to be an introduction on this topic, providing a clear and easy to follow description. To illustrate how CTMN can be used, we introduce a set of representative and modern scenarios, such as Vehicular Ad-hoc Networks (VANETs), Power Line Communication networks and multiple overlapping Wireless Local Area Networks (WLANs). For each scenario, we describe the specific CTMN, obtain the stationary distribution of the CTMN and compute the throughput achieved by each node in the network. Taking the per-node throughput as reference, we discuss how the complex interactions between nodes using CSMA/CA affect the system performance.
UR - http://arxiv.org/pdf/1404.0180.pdf
M3 - Report
T3 - arXiv
BT - Throughput analysis in CSMA/CA networks using continuous time Markov networks : a tutorial
PB - s.n.
ER -