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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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A Novel Algorithm for Routing Paths Selection in Mesh-Based Optical Networks-on-Chips.

Xiao-Ping Yang1, Ting-Ting Song1, Yi-Chen Ye1

  • 1School of Electronic and Information Engineering, Southwest University, Chongqing 400715, China.

Micromachines
|November 13, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a new routing algorithm for optical networks-on-chips (ONoCs) to minimize power loss and improve optical signal-to-noise ratio (OSNR). The proposed algorithm enhances ONoC scalability and performance.

Keywords:
crosstalk noiseoptical networks-on-chipsoptical signal-to-noise ratiopower lossrouting algorithm

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Area of Science:

  • Computer Engineering
  • Optical Communications
  • Integrated Circuits

Background:

  • Optical networks-on-chips (ONoCs) offer high bandwidth and low latency for on-chip communication.
  • Power loss and optical signal-to-noise ratio (OSNR) are critical factors limiting ONoC scalability and performance.
  • Existing dimension-order routing algorithms in ONoCs suffer from high power loss and crosstalk noise.

Purpose of the Study:

  • To propose a novel routing algorithm for 2-D mesh-based ONoCs.
  • To minimize power loss in routing paths while ensuring approximately optimal OSNR.
  • To enhance the scalability and performance of ONoCs.

Main Methods:

  • Development of a 5x5 all-pass optical router model for 2-D mesh ONoCs.
  • Utilization of general optical router and power loss/crosstalk noise calculation models.
  • Proposal of a novel algorithm for selecting routing paths with minimum power loss and optimal OSNR.

Main Results:

  • The proposed algorithm effectively reduces power loss in 5x5 and 6x6 ONoC networks.
  • The algorithm significantly improves the optical signal-to-noise ratio (OSNR).
  • Performance benefits of the algorithm increase with larger optical network scales.

Conclusions:

  • The novel routing algorithm offers a superior approach to managing power loss and OSNR in ONoCs.
  • This method enhances the scalability of ONoCs by mitigating critical design limitations.
  • The algorithm demonstrates significant potential for future high-performance optical network-on-chip designs.