Abstract
WiFi (IEEE 802.11 standard) networks are widely used to support real-time (RT) applications, from home environment systems to complex networked control systems (NCS). Nevertheless, the Quality of Service (QoS) extensions incorporated into the standard are still unable to guarantee some relevant RT communications requirements. This paper presents an experimental validation of the RT-WiFi architecture that was recently proposed to deal with RT communication requirements and analysed through simulation. The experimental results demonstrate the feasibility of implementing the RT-WiFi architecture and improving the QoS level of communications through a comparative analysis with the EDCA (Enhanced Distributed Channel Access) mechanism, which is a mechanism incorporated in the IEEE 802.11 standard to provide different levels of transmission priority of different types of traffic.
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Notes
- 1.
In an open basic service set environment RT and non-RT (NRT) stations compete for access to the medium using the same communication channel and overlapping geographic area.
- 2.
The local ID (in the station) of an admitted TS can be different from ID assigned by ACU. Within this context, at stations level, the identifications are performed by the tuple [MAC address/local ID].
- 3.
This procedure can be used to avoid the association of non-authorised stations with the real-time network.
- 4.
The ADDTS (Add Traffic Stream) and DELTS (Delete Traffic Stream) messages are part of TSPEC element described in IEEE 802.11 standard.
- 5.
- 6.
- 7.
Although the name of the proposed architectures is the same (RT-WiFi), they are different works developed by different research groups.
- 8.
- 9.
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This research was partially funded by CAPES Print Program (grant 698503P).
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Betiol Júnior, J., Costa, R., Moraes, R., Rech, L., Vasques, F. (2019). RT-WiFi Approach to Handle Real-Time Communication: An Experimental Evaluation. In: Palattella, M., Scanzio, S., Coleri Ergen, S. (eds) Ad-Hoc, Mobile, and Wireless Networks. ADHOC-NOW 2019. Lecture Notes in Computer Science(), vol 11803. Springer, Cham. https://doi.org/10.1007/978-3-030-31831-4_20
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