TY - JOUR
T1 - Throughput analysis in CSMA/CA networks using continuous time markov networks
T2 - A tutorial
AU - Bellalta, Boris
AU - Zocca, Alessandro
AU - Cano, Cristina
AU - Checco, Alessandro
AU - Barcelo, Jaume
AU - Vinel, Alexey
PY - 2014/1/1
Y1 - 2014/1/1
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 cuttingedge 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 its stationary distribution 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 have an impact on 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 cuttingedge 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 its stationary distribution 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 have an impact on system performance.
KW - CSMA/CA
KW - Markov Processes
KW - random access protocol
KW - modeling
KW - Throughput analysis
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U2 - 10.1007/978-3-319-10834-6_7
DO - 10.1007/978-3-319-10834-6_7
M3 - Article
AN - SCOPUS:84927619263
SN - 0302-9743
VL - 8611
SP - 115
EP - 133
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -