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Related Experiment Video

Updated: Feb 22, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

An analytic model for Throughput Optimal Distributed Coordination Function (TO-DCF).

Emma Fitzgerald¹, Ulf Körner¹, Bjorn Landfeldt¹

¹Department of Electrical and Information Technology, Lund University, 221 00, Lund, Sweden.

Telecommunication Systems

|September 22, 2017

Summary

This summary is machine-generated.

TO-DCF, a novel backoff scheme for 802.11 wireless networks, boosts throughput in dense environments. An analytical model accurately predicts its performance, aiding network configuration for optimal operation.

Keywords:

802.11 CSMA MAC Wireless LAN

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Last Updated: Feb 22, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

Computer Science
Electrical Engineering
Wireless Networking

Background:

Dense wireless local area networks (WLANs) face throughput limitations.
Existing backoff schemes may not efficiently manage varying traffic loads or channel conditions.

Purpose of the Study:

To introduce and analyze the performance of the TO-DCF backoff scheme for 802.11 networks.
To develop an accurate analytical model for TO-DCF behavior.
To provide configuration guidance for network operators.

Main Methods:

Development of an analytical model for TO-DCF.
Investigation of parameters like node count, contention window size, and backoff probabilities.
Comparison of model results with simulation data.

Main Results:

The analytical model demonstrates high accuracy in predicting TO-DCF performance.
The model remains accurate even when simplifying assumptions are relaxed.
Performance is sensitive to key operating parameters.

Conclusions:

TO-DCF offers significant throughput improvements in dense WLANs.
The developed analytical model is a reliable tool for understanding TO-DCF.
Network operators can use the model to optimize TO-DCF weight functions for specific network conditions.