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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
Published on: September 8, 2023
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Optimal cluster-based energy efficient routing scheme for QoS aware IoT-enabled wireless body area network.
V Irine Shyja1, G Ranganathan2, P Chandrakanth3
1Department of Computer Science and Engineering, Audisankara (Deemed to be University), Gudur, Andhra Pradesh, 524101, India. irine_shy10@yahoo.co.in.
Scientific Reports
|January 30, 2026
Summary
This study introduces QEEC-Routing, a novel approach for Wireless Body Area Networks (WBANs) in IoT healthcare. It enhances energy efficiency and network reliability for continuous patient monitoring.
Area of Science:
- Internet of Things (IoT) healthcare systems
- Wireless Body Area Networks (WBANs)
- Network routing protocols
Background:
- WBANs are crucial for continuous patient monitoring in IoT healthcare but face challenges like energy constraints, node mobility, and unreliable trust.
- Existing clustering techniques for WBANs often suffer from premature convergence, unbalanced workloads, and poor cluster head selection.
- These limitations reduce network performance and system lifespan in WBAN applications.
Purpose of the Study:
- To propose a novel Quality of Service (QoS)-aware, energy-efficient clustering-based routing scheme (QEEC-Routing) for WBANs.
- To address limitations of existing WBAN routing protocols, focusing on energy efficiency, balanced workloads, and reliable node selection.
- To enhance the reliability and longevity of WBANs for real-time IoT healthcare applications.
Main Methods:
- Developed QEEC-Routing, integrating Modified Raccoon Optimization (MRO) for balanced clustering.
- Employed a Two-level Quaternion-Valued Recurrent Neural Network (TQV-RNN) for adaptive trust level calculation and accurate cluster head selection.
- Utilized the Improved Hypercube Natural Aggregation (IHNA) algorithm for robust routing path discovery under mobility and congestion.
Main Results:
- QEEC-Routing demonstrated a significant 51.5% reduction in energy consumption.
- The proposed scheme achieved a 6.5% improvement in packet delivery ratio.
- Network lifetime was extended by 14.9% compared to existing approaches in NS3 simulations.
Conclusions:
- QEEC-Routing offers a more reliable, energy-aware, and trust-conscious communication strategy for WBANs.
- The integrated algorithms effectively manage energy distribution, node selection, and pathfinding in challenging WBAN environments.
- The proposed scheme significantly enhances performance metrics, making it suitable for real-time IoT healthcare applications.
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