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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Energy-Efficient, Cluster-Based Routing Protocol for Wireless Sensor Networks Using Fuzzy Logic and Quantum Annealing

Hongzhi Wang1, Ke Liu1, Chuhang Wang2

  • 1College of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China.

Sensors (Basel, Switzerland)
|July 13, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel hybrid fuzzy logic and quantum annealing algorithm (FQA) protocol to enhance wireless sensor network (WSN) energy efficiency and lifespan. The FQA protocol significantly outperforms existing methods in key performance metrics.

Keywords:
clusteringfuzzy logicquantum annealing algorithmroutingwireless sensor networks (WSNs)

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless Sensor Networks (WSNs) face significant limitations due to battery power dependency.
  • Efficient data transmission and extended network lifespan are critical research objectives for WSNs.
  • Existing protocols often struggle to balance energy consumption with network stability and longevity.

Purpose of the Study:

  • To propose a novel hybrid fuzzy logic and quantum annealing algorithm-based clustering and routing protocol (FQA) for WSNs.
  • To enhance network stability and minimize energy consumption in WSNs.
  • To extend the operational lifespan of wireless sensor networks.

Main Methods:

  • Developed a hybrid protocol (FQA) integrating a fuzzy inference system (FIS) for cluster head (CH) selection and a quantum annealing algorithm for optimal routing.
  • Implemented an energy threshold for efficient CH candidate filtering, reducing computation time.
  • Utilized an on-demand re-clustering mechanism for global network maintenance, minimizing overhead compared to periodic clustering.

Main Results:

  • The FQA protocol demonstrated superior performance across various scenarios compared to FRNSEER, BOA-ACO, OAFS-IMFO, and FC-RBAT.
  • Significant improvements were observed in energy consumption, number of alive nodes, and overall network lifetime.
  • Enhanced throughput was achieved with the proposed FQA protocol.

Conclusions:

  • The FQA protocol effectively addresses the energy consumption and lifespan limitations of WSNs.
  • The hybrid approach combining fuzzy logic and quantum annealing offers a robust solution for WSN optimization.
  • FQA represents a significant advancement in WSN protocol design, outperforming existing state-of-the-art methods.