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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 reliable energy-efficient multi-level routing algorithm for wireless sensor networks using fuzzy Petri nets.

Zhenhua Yu1, Xiao Fu, Yuanli Cai

  • 1School of Telecommunication Engineering, Air Force Engineering University, Xi'an 710077, China. zhenhua_yu@163.com

Sensors (Basel, Switzerland)
|December 14, 2011
PubMed
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A novel routing algorithm for wireless sensor networks enhances energy efficiency and network longevity. It uses fuzzy logic for reliable cluster head selection and multi-level routing, balancing energy dissipation for extended operational life.

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless Sensor Networks (WSNs) face challenges in energy efficiency and network lifetime due to imbalanced energy dissipation.
  • Existing routing algorithms often struggle to balance energy load and ensure reliable data transmission.
  • Node centrality and neighbor count are crucial factors for effective cluster formation in WSNs.

Purpose of the Study:

  • To propose a reliable and energy-efficient multi-level routing algorithm for wireless sensor networks.
  • To enhance network lifetime and reduce overall energy consumption through intelligent routing.
  • To ensure balanced energy dissipation across all nodes in the network.

Main Methods:

  • Utilizing fuzzy Petri nets for a knowledge-based inference approach to select cluster heads.
Keywords:
clusteringfuzzy Petri netsrouting algorithmwireless sensor networks

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

  • Employing a fuzzy reasoning mechanism to compute the reliability of routes from cluster heads to the base station.
  • Implementing a multi-level routing strategy considering residual energy, neighbor count, and node centrality.

    • Main Results:

    • The proposed algorithm effectively balances energy load among network nodes.
    • Global network reliability is enhanced through the construction of the most dependable routes.
    • Simulation results confirm a significant prolongation of network lifetime and a reduction in energy consumption.

    Conclusions:

    • The developed routing algorithm offers a robust solution for energy-efficient and reliable WSN operation.
    • Fuzzy logic-based approaches are effective in optimizing cluster head selection and route reliability.
    • The algorithm contributes to extending the operational lifespan of wireless sensor networks.