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DGTTSSA: Data Gathering Technique Based on Trust and Sparrow Search Algorithm for WSNs.

Walid Osamy1,2, Ahmed M Khedr3,4, Bader Alwasel2

  • 1Computer Science Department, Faculty of Computers and Artificial Intelligence, Benha University, Benha 13513, Egypt.

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Summary

This study introduces a trust-enabled data-gathering technique using the Sparrow Search Algorithm (SSA) for Wireless Sensor Networks (WSNs). The method enhances network security and extends lifetime by selecting trustworthy cluster heads based on energy and trust values.

Keywords:
Internet of Things (IoT)Wireless Sensor Networksclusteringdata collectionmetaheuristicswarm intelligencetrust

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Area of Science:

  • Computer Science
  • Network Security
  • Artificial Intelligence

Background:

  • Wireless Sensor Networks (WSNs) are vital for intelligent applications but face significant security challenges in open environments.
  • Clustering is essential for WSN longevity, yet compromised Cluster Heads (CHs) undermine data trustworthiness.
  • Trust-aware clustering is crucial for enhancing WSN security and node communication.

Purpose of the Study:

  • To introduce a novel trust-enabled data-gathering technique for WSNs.
  • To enhance network security and extend the operational lifetime of WSNs through improved CH selection.
  • To develop a trust-aware CH selection mechanism using the Sparrow Search Algorithm (SSA).

Main Methods:

  • A trust-enabled data-gathering technique, DGTTSSA, is proposed, adapting the swarm-based SSA optimization algorithm.
  • A fitness function is designed using nodes' remaining energy and trust values for efficient and trustworthy CH selection.
  • Dynamic adjustment of predefined energy and trust thresholds accommodates network changes.

Main Results:

  • DGTTSSA effectively selects the most trustworthy nodes as CHs, significantly extending WSN network lifetime.
  • The proposed method shows substantial improvements in the instability period compared to existing algorithms like LEACH-TM, ETCHS, eeTMFGA, and E-LEACH.
  • Performance gains are consistent across various Base Station (BS) locations (center, corner, outside network).

Conclusions:

  • DGTTSSA offers a robust solution for enhancing WSN security and prolonging network lifespan.
  • The trust-aware clustering approach based on SSA provides a significant advancement in WSN data gathering.
  • The technique demonstrates superior performance in maintaining network stability and reliability.