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Updated: May 24, 2026

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

Published on: September 8, 2023

Energy efficient sensor scheduling with a mobile sink node for the target tracking application.

Suhinthan Maheswararajah1, Saman Halgamuge, Malin Premaratne

  • 1Department of Mechanical Engineering, Melbourne School of Engineering, University of Melbourne, Australia; E-mail: saman@unimelb.edu.au (S.H.).

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

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This study minimizes sensor network energy consumption and avoids measurement losses by optimizing sensor node activation and mobile sink paths. Efficient data collection extends sensor network lifespan.

Area of Science:

  • Sensor Networks
  • Energy Efficiency
  • Target Tracking

Background:

  • Measurement losses degrade target tracking performance.
  • Sensor network lifespan is limited by energy consumption.
  • Efficient energy usage is critical for sensor node longevity.

Purpose of the Study:

  • Minimize total energy consumed by sensor nodes.
  • Avoid measurement losses during target tracking.
  • Optimize sensor node selection and mobile sink movement.

Main Methods:

  • Dynamic programming for known mobile sink paths.
  • Stochastic dynamic programming for Markov chain-based sink movement.
  • Sub-optimal methods for practical implementation.
Keywords:
Dynamic ProgrammingMarkov ModelSensor SchedulingTarget Tracking

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

Main Results:

  • Developed methods to minimize energy consumption in sensor networks.
  • Demonstrated effectiveness in avoiding measurement losses.
  • Evaluated performance through numerical examples.

Conclusions:

  • Optimal sensor sequence selection reduces energy usage.
  • Mobile sink strategies are crucial for energy-efficient data collection.
  • Proposed methods offer viable solutions for energy-constrained sensor networks.