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Updated: May 26, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

A Distance-based Energy Aware Routing algorithm for wireless sensor networks.

Jin Wang¹, Jeong-Uk Kim, Lei Shu

¹Department of Computer Engineering, Kyung Hee University, Suwon, Korea. wangjin@oslab.khu.ac.kr

Sensors (Basel, Switzerland)

|December 14, 2011

Summary

This summary is machine-generated.

This study introduces the Distance-based Energy Aware Routing (DEAR) algorithm for wireless sensor networks (WSNs). DEAR balances energy consumption among nodes, significantly extending network lifetime by preventing hotspots.

Keywords:

energy efficiency hop number hotspot network lifetime routing wireless sensor networks

Related Experiment Videos

Last Updated: May 26, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

Computer Science
Network Engineering
Wireless Communication

Background:

Wireless Sensor Networks (WSNs) face significant energy efficiency and balancing challenges due to limited node power and recharge difficulties.
Existing energy-efficient routing algorithms often lead to network partitioning and hotspot nodes by overusing specific sensors.

Purpose of the Study:

To propose a novel algorithm, Distance-based Energy Aware Routing (DEAR), for WSNs.
To enhance energy efficiency and achieve balanced energy consumption across sensor nodes.
To extend the overall network lifetime of WSNs.

Main Methods:

Developed the DEAR algorithm, prioritizing individual node distance for energy consumption equalization.
Incorporated residual energy as a secondary factor in the routing decision process.
Analyzed theoretical energy and traffic models to support the algorithm's design.

Main Results:

DEAR effectively reduces and balances energy consumption among all sensor nodes.
Simulation results demonstrate a significant prolongation of network lifetime compared to existing routing algorithms.
The algorithm prevents the overuse of specific nodes, mitigating hotspot formation and network partitioning.

Conclusions:

The DEAR algorithm successfully addresses energy balancing and efficiency challenges in WSNs.
Prioritizing distance and considering residual energy leads to more equitable energy depletion.
DEAR offers a promising solution for extending the operational lifespan of wireless sensor networks.