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Updated: May 26, 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

A QoS-guaranteed coverage precedence routing algorithm for wireless sensor networks.

Joe-Air Jiang1, Tzu-Shiang Lin, Cheng-Long Chuang

  • 1Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, Taipei, Taiwan. jajiang@ntu.edu.tw

Sensors (Basel, Switzerland)
|December 14, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a novel routing protocol for wireless sensor networks (WSNs) that balances energy consumption and coverage preservation. The protocol significantly extends network lifetime while maintaining full sensing coverage, crucial for mission-critical applications.

Keywords:
quality of service (QoS)routing algorithmsensing coverage problemwireless sensor network (WSN)

Related Experiment Videos

Last Updated: May 26, 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

Area of Science:

  • Computer Science
  • Network Engineering
  • Wireless Sensor Networks

Background:

  • Mission-critical applications like battlefield surveillance and healthcare rely on Wireless Sensor Networks (WSNs).
  • Ensuring full sensing coverage and network longevity is vital for reliable data transmission in WSNs.
  • A key challenge in WSNs is the tradeoff between maintaining sensing coverage and extending network operational lifetime due to limited node energy.

Purpose of the Study:

  • To propose a novel routing protocol for WSNs that addresses the tradeoff between energy balance and coverage preservation.
  • To enhance the reliability and operational duration of WSNs in mission-critical scenarios.

Main Methods:

  • Developed a routing protocol that considers energy consumption for radio transmissions and residual energy across the network.
  • Integrated energy-balance and coverage-preservation mechanisms into the protocol's route determination.

Main Results:

  • The proposed protocol effectively balances energy consumption and coverage preservation in WSNs.
  • Simulations show the protocol significantly increases the on-duty network duration.
  • Achieved up to 98.3% and 85.7% extra service time with 100% sensing coverage compared to LEACH and LEACH-Coverage-U, respectively.

Conclusions:

  • The developed routing protocol enhances WSN performance for mission-critical applications.
  • It offers a viable solution for extending network lifetime while guaranteeing full sensing coverage.
  • The protocol demonstrates superior efficiency over existing methods like LEACH.