Large Scale Energy Efficient Sensor Network Routing using a Quantum Processor Unit.

Area of Science:

• Computer Science
• Quantum Computing
• Network Engineering

Background:

• Sensor networks require energy conservation for extended operational lifetimes.
• Classical heuristic algorithms face limitations in optimizing energy usage for complex network topologies.
• Quantum computing offers potential for solving computationally intensive optimization problems.

Purpose of the Study:

• To present and justify a novel sensor network energy conservation method.
• To demonstrate the experimental validation of this hybrid quantum-classical approach.
• To establish quantum advantage in addressing sensor network lifetime maximization.

Main Methods:

• A hybrid approach utilizing both classical computers and quantum processors for energy conservation.
• Experimental validation using a randomly generated sample set of network topologies.
• Comparison with existing heuristic algorithms executed on classical computers.

Main Results:

• The hybrid method significantly outperforms classical heuristic algorithms in energy conservation.
• Positive validation results across diverse network topologies were achieved.
• Demonstrated feasibility of quantum processors for large-scale engineering problems.

Conclusions:

• The developed method offers a superior approach to sensor network lifetime maximization.
• Quantum advantage is practically achievable and beneficial for real-world engineering challenges.
• The research moves beyond proof of concept to proof of feasibility for quantum solutions.