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Updated: Jul 8, 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

Optimizing energy efficiency in wireless sensor networks through advanced cluster-based routing protocols.

Fathia A Mohamed1, Emad S Hassan2, Moawad I Dessouky3

  • 1Department of Electronics and Electrical Communication, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt. eng_tota82@yahoo.com.

Scientific Reports
|July 6, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces an energy-efficient routing protocol for wireless sensor networks (WSNs). The new method enhances network lifetime and performance by optimizing cluster head selection and node deployment.

Keywords:
Cluster-heads electionClustering schemesEnergy consumptionNetwork’s lifetimeSEPThroughputWSNs

Related Experiment Videos

Last Updated: Jul 8, 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
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless Sensor Networks (WSNs) face critical energy conservation challenges due to non-replaceable batteries.
  • Existing routing protocols struggle to balance energy efficiency and network lifetime in heterogeneous environments.
  • The need for advanced routing strategies is paramount for sustainable WSN operation.

Purpose of the Study:

  • To propose a novel cluster-based proactive routing protocol for energy-heterogeneous WSNs.
  • To enhance network lifetime and energy efficiency through optimized cluster head selection and node deployment.
  • To address the limitations of existing protocols in managing energy consumption and transmission distances.

Main Methods:

  • Developed a three-tier energy-heterogeneous WSN model.
  • Implemented a modified threshold-based cluster head (CH) selection mechanism considering node energy and distance to the base station (BS).
  • Strategically deployed low-power nodes in specific network zones to mitigate long transmission distances.

Main Results:

  • The proposed protocol significantly improves network lifetime, stability period, and reduces node death.
  • Achieved up to 27% increase in network lifetime and throughput compared to existing protocols (SEP, IMPLEACH, EEECA-THWSN).
  • Demonstrated superior performance in terms of total network lifetime, first node death, half-node death, last node death, throughput, and normalized remaining energy.

Conclusions:

  • The modified cluster-based proactive routing protocol effectively enhances WSN energy efficiency and network lifetime.
  • The optimized CH selection and node deployment strategy are crucial for sustainable WSN operation.
  • The proposed protocol offers a significant advancement over existing methods for energy-heterogeneous WSNs.