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Disjoint Spanning Tree Based Reliability Evaluation of Wireless Sensor Network.

Sonam Lata1, Shabana Mehfuz1, Shabana Urooj2

  • 1Department of Electrical Engineering, Jamia Millia Islamia, New Delhi, 110025, India.

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Summary
This summary is machine-generated.

This study introduces an efficient algorithm for evaluating wireless sensor network (WSN) reliability. The method uses minimal spanning trees for faster, more accurate connectivity assessments in large-scale WSNs.

Keywords:
network reliabilityspanning treessum-of-disjoint productswireless sensor network (WSN)

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless sensor networks (WSNs) are crucial in manufacturing, but ensuring their stable operation requires robust reliability measures.
  • Network connectivity is paramount for WSN efficacy, especially in large-scale, harsh environments.
  • Existing methods for WSN reliability assessment can be computationally intensive.

Purpose of the Study:

  • To propose a novel, efficient algorithm for evaluating the reliability of wireless sensor networks (WSNs).
  • To address the challenge of computing minimal spanning trees for enhanced network reliability analysis.
  • To develop a method for assessing flow-oriented reliability in WSNs.

Main Methods:

  • A one-step algorithm utilizing specific spanning trees and generating disjoint spanning trees efficiently.
  • Implementation of a binary decision illustration for enumerating K-coverage communication reliability.
  • A modified sum-of-disjoint products approach applied to enumerated minimal spanning trees.

Main Results:

  • The proposed algorithm demonstrates reduced computation time and memory usage.
  • The methodology provides a less complex and more efficient way to determine WSN reliability.
  • The algorithm is applicable to WSNs of various scales, proving its versatility.

Conclusions:

  • The developed algorithm offers a significant improvement in evaluating WSN reliability.
  • This approach enhances network performance for secure and successful communication.
  • The method is suitable for large-scale WSN deployments in demanding environments.