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Related Experiment Video

Updated: Jun 27, 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

An Event-Driven Self-Healing Routing and Topology Maintenance Mechanism for Surface-Deployed Wireless Sensor Networks

Lei Wang1, Tzu-Ming Hsia1, Chen-Wei Hsu1

  • 1Department of Electrical Engineering, Feng Chia University, Taichung City 407102, Taiwan.

Sensors (Basel, Switzerland)
|June 26, 2026
PubMed
Summary

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A Drift-Aware Clustering and Recovery Strategy for Surface-Deployed Wireless Sensor Networks in Ocean Environments.

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This summary is machine-generated.

This study introduces a self-healing routing mechanism for surface wireless sensor networks (WSNs) to combat ocean current disruption. The proposed method significantly reduces network disconnections and improves long-term topology stability.

Area of Science:

  • Marine technology
  • Network engineering
  • Oceanography

Background:

  • Surface wireless sensor networks (WSNs) are crucial for ocean monitoring.
  • Ocean currents cause topology instability, backbone distortion, and route failures in WSNs.

Purpose of the Study:

  • To propose an event-driven, self-healing routing and topology-maintenance mechanism for drift-prone surface WSNs.
  • To address persistent topology evolution and route breakage caused by marine forcing.

Main Methods:

  • The proposed framework combines dual-threshold cluster-head handover, CH-HELP backbone repair, Node-HELP member reattachment, loop-free upstream reselection, and conditional global reclustering.
  • This approach prioritizes local repair, with global refresh triggered only by persistent backbone quality deterioration.
Keywords:
cluster-based routingconditional reclusteringdrift-aware networkingevent-driven maintenanceocean monitoringself-healing routingsurface-deployed wireless sensor networkstopology maintenance

Related Experiment Videos

Last Updated: Jun 27, 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:

  • The full Proposed-Hybrid method reduced the cluster-head (CH) disconnection rate from 8.15% to 5.15% compared to DARCR.
  • Conditional global reclustering significantly suppressed late-stage topology degradation, reducing the mean CH-disconnection rate in the final third from 16.32% to 8.51%.

Conclusions:

  • The proposed event-driven, self-healing mechanism effectively maintains WSN topology and routing stability in ocean current environments.
  • Conditional global reclustering is vital for mitigating long-term topology degradation in surface WSNs.