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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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IACRA: Lifetime Optimization by Invulnerability-Aware Clustering Routing Algorithm Using Game-Theoretic Approach for

Jun Wang1, Yadan Zhang2, Chunyan Hu1

  • 1School of Information Engineering, Henan University of Science and Technology, Luoyang 471000, China.

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|October 27, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel routing algorithm for wireless sensor networks (WSNs) that enhances network lifespan and quality of service (QoS). The invulnerability-aware clustering routing algorithm (IACRA) significantly improves energy balance and network invulnerability.

Keywords:
average residual energyclustering routing protocolgame theoryinvulnerabilitylifetimewireless sensor networks

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Area of Science:

  • Computer Science
  • Network Engineering
  • Wireless Sensor Networks

Background:

  • Wireless sensor networks (WSNs) face intrinsic energy limitations impacting their application in critical areas like disaster response.
  • Existing hierarchical routing protocols often struggle to balance energy efficiency with satisfactory quality of service (QoS), particularly network invulnerability.
  • There is a critical need for routing methods that optimize network lifetime by considering both invulnerability and energy efficiency.

Purpose of the Study:

  • To propose a novel invulnerability-aware clustering routing algorithm (IACRA) for WSNs using a game-theoretic approach.
  • To enhance network lifetime and QoS by optimizing cluster head selection and implementing a cluster rotation mechanism.
  • To address the challenge of energy limitation in WSNs while maintaining robust performance.

Main Methods:

  • Developed an integral network invulnerability metric based on weighted fusion of local and global indicators.
  • Established an optimal probability function for cluster head (CH) election using game theory, balancing invulnerability and node energy consumption.
  • Implemented a distance-aware CH discovery and a cluster rotation update mechanism for lifetime optimization.

Main Results:

  • The proposed IACRA demonstrated significant improvements in energy balance and network invulnerability compared to existing protocols (GEEC, HGTD, EEGC).
  • At 400 communication rounds, IACRA showed higher invulnerability by 77.56% (GEEC), 29.45% (HGTD), and 15.90% (EEGC).
  • IACRA achieved higher average residual energy: 8.61% (GEEC), 18.35% (HGTD), and 6.36% (EEGC).

Conclusions:

  • IACRA effectively optimizes WSN network lifetime by considering both invulnerability and energy efficiency.
  • The game-theoretic approach in IACRA enhances decision-making capabilities for nodes, leading to better network performance.
  • The proposed algorithm provides a practical solution to improve WSN resilience against QoS deterioration and energy constraints.