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Related Concept Videos

Cluster Sampling Method01:20

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
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Related Experiment Video

Updated: Jun 11, 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

Energy-efficient wireless sensor networks using unequal clustering and cluster head rotation optimization.

Bhaskar Prince1, Prabhat Kumar1, Sunil Kumar Singh2

  • 1Department of Computer Science and Engineering, National Institute of Technology Patna, Bihar, India.

Scientific Reports
|June 9, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a mobile data collector in wireless sensor networks (WSN) to solve the energy hole problem. The new approach reduces energy consumption by approximately 21%, extending network lifespan.

Keywords:
Anchor point (AP)Cluster head (CH)Mobile data collector (MDC)Unequal clusterWireless sensor network (WSN)

Related Experiment Videos

Last Updated: Jun 11, 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 (WSN) face an energy hole problem with multi-hop routing, where nodes near the base station (BS) deplete energy faster due to high traffic.
  • This imbalance leads to premature network failure and reduced operational lifespan.

Purpose of the Study:

  • To propose an energy-efficient routing protocol using a mobile data collector (MDC) to mitigate the energy hole problem in WSNs.
  • To enhance network lifespan and data traffic distribution through optimized clustering and cluster head (CH) selection.

Main Methods:

  • Implementation of an unequal grid clustering strategy with cluster size determined by the radio energy model's threshold transmission value.
  • Election of cluster heads (CHs) based on distance to the cluster centroid and residual energy, coupled with an optimized CH rotation mechanism.
  • Deployment of a mobile data collector (MDC) for efficient data gathering from CHs along vertical boundaries.

Main Results:

  • The proposed protocol effectively reduces energy consumption in WSNs, achieving approximately 21% less energy usage compared to existing schemes.
  • Balanced data traffic distribution and reduced occurrence of energy holes near the base station were observed.
  • Extended network operational lifespan was demonstrated through simulations.

Conclusions:

  • The integration of a mobile data collector within an optimized unequal grid clustering framework significantly alleviates the energy hole problem in WSNs.
  • The proposed protocol offers a superior solution for energy efficiency and network longevity in wireless sensor networks.
  • Simulation results validate the effectiveness and performance improvements over existing methods.