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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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An intelligent algorithm for energy efficiency optimization in software-defined wireless sensor networks for 5G

Kemal Gökhan Nalbant1, Suliman A Alsuhibany2, Asma Hassan Alshehri3

  • 1Faculty of Engineering Architecture, Department of Software Engineering, Istanbul Beykent University, Sariyer, Istanbul, Turkey.

Plos One
|June 20, 2024
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Summary
This summary is machine-generated.

This study introduces a new energy-efficient routing protocol for software-defined wireless sensor networks (WSNs). The proposed method significantly enhances network longevity and performance by optimizing cluster routing algorithms.

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless Sensor Networks (WSNs) are crucial for data delivery, offering flexibility and mobility.
  • Energy efficiency and computational feasibility are key challenges in WSN communication protocol design.
  • Software-defined WSNs are emerging as a vital architecture for the Internet of Things (IoT).

Purpose of the Study:

  • To enhance the energy efficiency and extend the operational lifespan of software-defined WSNs.
  • To reduce energy consumption within cluster routing protocols.
  • To improve overall system performance under diverse operating conditions.

Main Methods:

  • Development of a novel approach for energy-efficient routing in software-defined WSNs.
  • Integration of the firefly algorithm and high-efficiency entropy for cluster routing optimization.
  • Simulation-based performance evaluation against existing algorithms.

Main Results:

  • The proposed method demonstrates superior system performance compared to existing algorithms.
  • The algorithm achieved approximately 42.06% more alive nodes than DEEC-FA.
  • It also outperformed IFCEER by 13.95% and another referenced algorithm by 12.05%.

Conclusions:

  • The novel approach effectively improves energy efficiency and network longevity in software-defined WSNs.
  • The integration of firefly algorithm and entropy offers a promising solution for WSN routing challenges.
  • The findings highlight the potential of the proposed method for future IoT applications.