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Fuzzy-Logic Dijkstra-Based Energy-Efficient Algorithm for Data Transmission in WSNs.

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  • 1Department of Computer Engineering, Chosun University, Gwangju 61452, Korea. madiha_razzaq@ymail.com.

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Summary
This summary is machine-generated.

This study introduces an energy-efficient clustering routing algorithm for wireless sensor networks. The new method enhances network lifetime and throughput by optimizing cluster head selection and data routing.

Keywords:
Dijkstra’s algorithmenergy-efficiencyfuzzy membership functionintra-cluster communication costweighted sum method

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Clustering routing algorithms are vital for energy efficiency and scalability in wireless sensor networks (WSNs).
  • Existing methods often face challenges in optimal cluster head selection and energy-aware data routing, impacting network longevity.

Purpose of the Study:

  • To propose a novel, energy-efficient clustering routing algorithm for WSNs.
  • To enhance network lifetime and system throughput through improved cluster head selection and data routing strategies.

Main Methods:

  • A weighted sum method for cluster head selection, balancing load and prioritizing nodes with high residual energy.
  • A fuzzy logic-based data routing scheme using Dijkstra's algorithm to find minimum-cost paths for intra-cluster communication.

Main Results:

  • The proposed algorithm demonstrates superior performance in energy consumption compared to existing methods.
  • Significant improvements observed in network lifetime and overall system throughput.
  • Effective load balancing achieved through the novel cluster head selection mechanism.

Conclusions:

  • The developed clustering routing algorithm offers a significant advancement in WSN energy efficiency and scalability.
  • The integrated approach to cluster head selection and data routing effectively extends network operational life.
  • This research provides a robust solution for optimizing performance in energy-constrained wireless sensor networks.