Modeling and simulation of the IEEE 802.11e wireless protocol with hidden nodes using Colored Petri Nets

Wireless technologies are continuously evolving, including features such as the extension to mid- and long-range communications and the support of an increasing number of devices. However, longer ranges increase the probability of suffering from hidden terminal issues. In the particular case of Wire...

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Bibliographic Details
Published in:Software and systems modeling 2021-04, Vol.20 (2), p.505-538
Main Authors: Coronado, Estefanía, Valero, Valentín, Orozco-Barbosa, Luis, Cambronero, María-Emilia, Pelayo, Fernando L.
Format: Article
Language:English
Subjects:
Compilers
Computer Science
Information Systems Applications (incl.Internet)
Interpreters
IT in Business
Local area networks
Nodes
Petri nets
Programming Languages
Programming Techniques
Quality of service
Quality of service architectures
Regular Paper
Software Engineering
Software Engineering/Programming and Operating Systems
Wireless networks
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Summary:Wireless technologies are continuously evolving, including features such as the extension to mid- and long-range communications and the support of an increasing number of devices. However, longer ranges increase the probability of suffering from hidden terminal issues. In the particular case of Wireless Local Area Networks (WLANs), the use of Quality of Service (QoS) mechanisms introduced in IEEE 802.11e compromises scalability, exacerbates the hidden node problem, and creates congestion as the number of users and the variety of services in the network grow. In this context, this paper presents a configurable Colored Petri Net (CPN) model for the IEEE 802.11e protocol with the aim of analyzing the QoS support in mid- and long-range WLANs The CPN model covers the behavior of the protocol in the presence of hidden nodes to examine the performance of the RTS/CTS exchange in scenarios where the QoS differentiation may involve massive collision chains and high delays. Our CPN model sets the basis for further exploring the performance of the various mechanisms defined by the IEEE 802.11 standard. We then use this CPN model to provide a comprehensive study of the effectiveness of this protocol by using the simulation and monitoring capabilities of CPN Tools.
ISSN:1619-1366
1619-1374
DOI:10.1007/s10270-020-00817-2