Title
Modeling and simulation of the IEEE 802.11e wireless protocol with hidden nodes using Colored Petri Nets
Date Issued
01 April 2021
Access level
open access
Resource Type
journal article
Author(s)
University of Castilla-La Mancha
Publisher(s)
Springer Science and Business Media Deutschland GmbH
Abstract
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.
Start page
505
End page
538
Volume
20
Issue
2
Language
English
OCDE Knowledge area
Ingeniería de sistemas y comunicaciones
Subjects
Scopus EID
2-s2.0-85088634268
Source
Software and Systems Modeling
Resource of which it is part
Software and Systems Modeling
ISSN of the container
16191366
Sponsor(s)
This work was supported by the Spanish Ministry of Science and Innovation (co-financed by European Union FEDER funds) projects “DArDOS (Formal development and analysis of complex systems in distributed contexts: foundations, tools and applications)”, reference TIN2015-65845-C3-02-R and project “FAME (Formal modeling and advanced testing methods. Applications to medicine and computing systems)”, reference RTI2018-093608-B-C32. There was also support from the Junta de Comunidades de Castilla-La Mancha project SBPLY/17/180501/000276/01 (cofunded with FEDER funds, EU).
Sources of information:
Directorio de Producción Científica
Scopus