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Updated: May 24, 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 hybrid adaptive routing algorithm for event-driven wireless sensor networks.

Carlos M S Figueiredo¹, Eduardo F Nakamura, Antonio A F Loureiro

¹Analysis, Research and Technological Innovation Center, Av. Gov. Danilo de Matos Areosa, 381, Distrito Industrial, 69075-351, Manaus, AM, Brazil;

Sensors (Basel, Switzerland)

|March 17, 2012

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This study introduces Multi-MAF, a hybrid adaptive routing algorithm for wireless sensor networks (WSNs). It intelligently switches between proactive and reactive strategies to conserve energy, outperforming traditional methods.

Area of Science:

Computer Science
Network Engineering
Wireless Communication

Background:

Routing is fundamental in wireless sensor networks (WSNs), but no single algorithm suits all applications.
Network traffic load can vary significantly, necessitating adaptive routing strategies.

Purpose of the Study:

To present a novel hybrid and adaptive routing algorithm, Multi-MAF, for WSNs.
To enable autonomous adaptation of routing behavior in response to changing network conditions.

Main Methods:

Developed the Multi-MAF algorithm, combining reactive and proactive routing strategies.
Integrated an event-detection estimation model to dynamically switch between strategies.
Evaluated algorithm performance through network simulations.

Keywords:

estimation moving average proactive routing reactive routing self organization self-adaptive routing wireless sensor networks

Related Experiment Videos

Last Updated: May 24, 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

Main Results:

Multi-MAF demonstrated improved energy consumption compared to independent reactive and proactive algorithms.
The adaptive strategy effectively managed varying network traffic loads.

Conclusions:

The Multi-MAF algorithm offers an energy-efficient solution for WSN routing.
Hybrid adaptive approaches are superior for dynamic network environments.