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

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Routing and scheduling co-design for holistic software-defined deterministic network.

Jinglong Zhang¹, Fengyuan Zhu¹, Zeming Yang¹

¹School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

Fundamental Research

|December 11, 2024

Summary

This summary is machine-generated.

This study introduces a holistic software-defined deterministic network (HSDDN) to address industrial Internet challenges. The HSDDN enhances programmability and adaptability for reliable, real-time data transmission in industrial settings.

Keywords:

Backscatter communication Deterministic networking Routing and scheduling co-design Software-defined networking Software-defined physical layer Time-sensitive networking

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Area of Science:

Computer Science
Electrical Engineering
Network Engineering

Background:

Industrial Internet applications face challenges with traditional hardware-based networks due to increasing complexity.
Existing networks struggle with programmability, dynamic adaptability, and meeting real-time, high-reliability data transmission demands.

Purpose of the Study:

To propose a holistic software-defined deterministic network (HSDDN) architecture.
To enhance programmability and dynamic adaptability in industrial networks.
To meet the stringent real-time and high-reliability data transmission requirements of industrial environments.

Main Methods:

Implemented a centralized controller for comprehensive software definition from network to physical layers.
Decoupled radio-frequency modules from baseband processing for a software-defined physical layer in wireless domains.
Integrated software-defined networking with time-sensitive networking for wired domains, addressing routing and deterministic scheduling.
Defined constraints for collaborative transmission of periodic and aperiodic data flows.
Utilized Jain's fairness index for load balancing and constructed an NP-hard joint optimization problem.
Developed a Tabu search for routing and scheduling with dual-stages (TSRS-DS) algorithm.

Main Results:

Demonstrated the effectiveness of the proposed HSDDN architecture through simulation experiments.
Achieved adjusted data transmission cycles and tagged trigger rates for low-power, high-concurrency wireless transmission.
Ensured collaborative transmission of diverse data flows in wired networks.
Successfully addressed routing and deterministic scheduling problems.

Conclusions:

The HSDDN architecture provides a viable solution for the complexities of industrial Internet applications.
Software-defined approaches offer significant improvements in network programmability and adaptability.
The proposed methods effectively manage data transmission and load balancing for industrial environments.