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Related Experiment Video

Updated: Apr 27, 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

Optimal routing in general finite multi-server queueing networks.

Tom van Woensel¹, Frederico R B Cruz²

¹Department of Industrial Engineering & Innovation Sciences, Technische Universiteit Eindhoven, Eindhoven, The Netherlands.

|July 11, 2014

Summary

This study optimizes routing in finite queueing networks to maximize throughput. A heuristic Powell algorithm approach improves network performance evaluation and routing decisions.

Related Experiment Videos

Last Updated: Apr 27, 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:

Operations Research
Computer Science
Telecommunications Engineering

Background:

Designing finite multi-server queueing networks is complex, with applications in computer networks, manufacturing, and telecommunications.
Optimal routing is crucial for efficient performance in these networks.

Purpose of the Study:

To address the optimal routing problem in arbitrary acyclic queueing networks.
To determine the routing probability vector that maximizes network throughput.

Main Methods:

Utilized an approximate performance evaluation method for finite queueing networks.
Employed a heuristic optimization method based on the Powell algorithm.

Main Results:

Developed a methodology to find optimal routing probabilities.
Quantified the effectiveness of the routing vector approximations through numerical results.

Conclusions:

The proposed methodology effectively optimizes routing in queueing networks.
The approach provides a valuable tool for enhancing network throughput and performance.