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

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Toward Autonomous Mobile Sensor Networks Technology.

Hamid Mahboubi¹, Amir G Aghdam², Kamran Sayrafian-Pour³

¹Department of Electrical & Computer Engineering, McGill University, 845 Rue Sherbrooke O, Montréal, Québec H3A 0G4 Canada.

IEEE Transactions on Industrial Informatics

|December 18, 2020

Summary

This summary is machine-generated.

This study introduces a new algorithm for mobile sensor networks that optimizes field coverage and network longevity. The system autonomously adjusts sensor range and location for maximum coverage, enhancing mobile sensor network performance.

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Area of Science:

Computer Science
Electrical Engineering
Robotics

Background:

Mobile sensor networks are crucial for civilian and military applications.
Maximizing field coverage is a key objective in sensor deployment.
Optimal sensor placement is often unknown in real-world scenarios.

Purpose of the Study:

To present a novel autonomous algorithm for joint sensing range and relocation control in mobile sensor networks.
To improve field coverage and extend network lifetime simultaneously.
To address the challenge of unknown optimal deployment positions.

Main Methods:

An iterative algorithm adjusts each sensor's sensing range based on residual energy.
Sensors are directed to move within multiplicatively weighted Voronoi (MW-Voronoi) regions.
The joint control approach aims to enhance overall field coverage.

Main Results:

The proposed algorithm effectively improves sensing coverage in mobile sensor networks.
Simulations demonstrate the efficacy of the autonomous joint control technique.
The method contributes to achieving maximal coverage and extended network lifetime.

Conclusions:

The novel autonomous algorithm offers a viable solution for optimizing mobile sensor network performance.
The joint sensing range and relocation control enhances both coverage and network longevity.
This approach is effective even when a priori deployment knowledge is unavailable.