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March 25, 2026IET Wireless Sensor SystemsOpen Access

A Hybrid Dynamic Sand Cat Swarm Optimisation (HD‐SCSO) Approach for Resource Allocation in Wireless Sensor Networks

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Authors

SSSamer SindianZOZiad OsmanAAAbdallah AL‐Sabbagh

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Overview

Simulation results demonstrate improved energy efficiency and packet delivery in wireless sensor networks, indicating enhanced adaptability and robustness.

Key Points

  • The research aims to optimize resource allocation in wireless sensor networks through a novel hybrid dynamic algorithm.
  • Developed a hybrid dynamic Sand Cat Swarm Optimisation (HD-SCSO) approach.
  • Implemented adaptive cluster organisation and intelligent cluster head selection.
  • Integrated a trust and security model with a focus on real-time network conditions.
  • HD-SCSO outperformed existing algorithms in energy efficiency and packet delivery.
  • Demonstrated improved network fairness and overall throughput.
  • Showed adaptability across varying network sizes and application types.

Cite This Study

Sindian et al. (2026) studied this question.

synapsesocial.com/papers/69c37bb3b34aaaeb1a67e617https://doi.org/10.1049/wss2.70028
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