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Related Experiment Video

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

Optimized routing with Ant Colony Algorithms to extend network lifetime in Wireless Sensor Networks.

R Kandasamy¹, S Anbu Karuppusamy²

¹Department of Electronics & Communication Engineering, Excel Engineering College, Namakkal, 637303, India. mrkandasamy1983@gmail.com.

Scientific Reports

|May 24, 2026

Summary

This study introduces a new routing algorithm for Wireless Sensor Networks (WSNs) that improves energy efficiency and network longevity. The Lifetime-Aware Ant Colony Optimization-based Routing Algorithm (LTAWSN) balances energy use for more reliable data delivery.

Keywords:

Ant Colony Optimization Energy-aware routing MANET Network lifetime 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
Electrical Engineering
Network Engineering

Background:

Wireless Sensor Networks (WSNs) face challenges in energy efficiency due to uneven energy depletion and dynamic network topologies.
Optimizing routing is crucial for extending the operational lifespan and reliability of WSNs.

Purpose of the Study:

To propose a novel routing algorithm, the Lifetime-Aware Ant Colony Optimization-based Routing Algorithm (LTAWSN), for enhanced energy efficiency in WSNs.
To improve network lifetime and data delivery rates by balancing energy consumption across nodes.

Main Methods:

Developed LTAWSN, integrating residual energy, hop count, and spatial proximity into routing probability.
Compared LTAWSN against traditional Ant Colony Optimization (ACA) and Energy-Aware ACA (EAACA) using NS-2 simulations.

Main Results:

LTAWSN demonstrated significant energy savings of 18-25% compared to existing methods.
The algorithm achieved a 6-10% enhancement in the percentage of packet delivery (PDR).
Improved network lifetime was observed across various node densities.

Conclusions:

LTAWSN effectively balances energy usage and enhances routing efficiency in WSNs.
The proposed strategy increases network stability, reliability, and overall energy balancing.
LTAWSN is suitable for prolonging the operational life of WSNs.