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Updated: May 24, 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 energy-aware routing protocol in wireless sensor networks.

Ming Liu1, Jiannong Cao, Guihai Chen

  • 1School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, P.R. China;

Sensors (Basel, Switzerland)
|March 6, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a novel energy-aware routing protocol (EAP) for wireless sensor networks (WSNS) that significantly extends network lifetime and data gathering by minimizing energy consumption and balancing loads. EAP outperforms existing protocols like LEACH and HEED.

Keywords:
Clustering algorithmData gatheringEnergy-awareIntra-cluster coverage

Related Experiment Videos

Last Updated: May 24, 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
  • Wireless Communication Networks
  • Network Protocols

Background:

  • Designing data gathering algorithms for wireless sensor networks (WSNS) presents a critical challenge in conserving sensor node energy while fulfilling application requirements.
  • Existing protocols often struggle with energy efficiency and load balancing, leading to premature network failure.

Purpose of the Study:

  • To propose a novel energy-aware routing protocol (EAP) designed to enhance the lifetime of wireless sensor networks.
  • To address the dual challenges of minimizing energy consumption and ensuring effective area coverage.

Main Methods:

  • Developed a new energy-aware routing protocol (EAP) focusing on minimizing in-network communication energy and balancing energy load across nodes.
  • Introduced a novel clustering parameter for efficient cluster head election, accommodating heterogeneous energy capacities.
  • Implemented an intra-cluster coverage approach to address area coverage challenges.

Main Results:

  • EAP demonstrated superior performance in terms of network lifetime compared to LEACH and HEED.
  • The protocol achieved a greater amount of data gathered over its operational lifespan.
  • Effective energy load balancing and efficient cluster head selection were observed.

Conclusions:

  • The proposed EAP offers a significant improvement in wireless sensor network longevity and data gathering efficiency.
  • EAP's energy-aware routing and clustering mechanisms are effective in managing heterogeneous energy capacities and area coverage.
  • This protocol provides a viable solution for long-lived sensor network applications.