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Related Experiment Video

Updated: May 24, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

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

Published on: September 8, 2023

Game and balance multicast architecture algorithms for sensor grid.

Qingfeng Fan1, Qiongli Wu, Frèdèric Magoulés

  • 1EcoleCentrale de Paris, Laboratory MAS, 92290, Chatenay-Malabry, France; E-Mails: qingfeng.fan@ecp.fr (Q.F.); frederic.magoule@ecp.fr (F.M.).

Sensors (Basel, Switzerland)
|March 9, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for sensor grid data transfer, significantly reducing multicast delay and improving efficiency. The approach optimizes data routing using a novel mathematical model for better network performance.

Keywords:
game and balancemulticastsensor grid

Related Experiment Videos

Last Updated: May 24, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

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

Published on: September 8, 2023

Area of Science:

  • Computer Science
  • Network Engineering
  • Data Transmission

Background:

  • Sensor grids are crucial for data collection but face challenges in efficient data transfer.
  • Multicast communication in sensor grids often suffers from high delay and low efficiency.

Purpose of the Study:

  • To develop a novel scheme for optimizing multicast delay and data transfer efficiency in sensor grids.
  • To address limitations in existing sensor grid communication protocols.

Main Methods:

  • A quantitative approach was employed, calculating space and data weight vectors.
  • A new vector was derived through linear combination, establishing a game and balance of factors.
  • A mathematical model was built to resolve linear indexes and generate a least weight path tree.

Main Results:

  • The proposed scheme significantly reduces average multicast delay.
  • The number of links used in data transmission was decreased compared to existing methods.
  • Improved transmission efficiency was demonstrated through extended simulations.

Conclusions:

  • The developed scheme offers a superior method for data transfer in sensor grids.
  • The quantitative, game-theoretic approach effectively balances space and data factors for enhanced performance.
  • This research provides a valuable contribution to efficient sensor grid network design.