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Reliable Route Selection for Wireless Sensor Networks with Connection Failure Uncertainties.

Jianhua Lyu1,2, Yiran Ren1, Zeeshan Abbas1

  • 1School of Computer Science and Engineering, Southeast University, Nanjing 210096, China.

Sensors (Basel, Switzerland)
|November 13, 2021
PubMed
Summary

This study introduces reliable route selection for wireless sensor networks (WSN) facing connection failures. It proposes algorithms to find top-k reliable spanning trees (RST) for robust network performance.

Keywords:
connection failure uncertaintyfilteringreliable spanning treeroute selectionwireless sensor networks

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Area of Science:

  • Computer Science
  • Network Engineering
  • Algorithm Design

Background:

  • Traditional minimum spanning trees are inadequate for wireless sensor networks (WSN) with connection failure uncertainties.
  • Network reliability is paramount, often taking precedence over cost in critical applications.
  • Structural uncertainties in graphs necessitate new approaches for route selection.

Purpose of the Study:

  • To formulate a reliable route selection method for WSNs with connection failure uncertainties.
  • To identify and utilize the top-k most reliable spanning trees (RST) considering graph uncertainties.
  • To develop efficient algorithms for filtering and selecting reliable routes.

Main Methods:

  • Formulation of reliable route selection using top-k reliable spanning trees (RST) based on a possible world model.
  • Proposal of two tree-filtering algorithms: k-minimum spanning tree (KMST) based and depth-first search (DFS) based.
  • Introduction of an edge-filtering method utilizing upper bounds for RST reliabilities to prune search spaces.

Main Results:

  • The proposed algorithms effectively filter candidate RSTs using explicit weight and implicit reliability thresholds.
  • The edge-filtering method significantly prunes search spaces and improves computational efficiency.
  • Extensive experiments demonstrate the effectiveness and efficiency of the developed algorithms.

Conclusions:

  • The presented approach provides a robust solution for reliable route selection in WSNs with connection uncertainties.
  • The developed algorithms offer efficient methods for identifying optimal reliable spanning trees.
  • This work enhances the dependability of wireless sensor networks in the presence of connection failures.