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A cluster-based trusted routing method using fire hawk optimizer (FHO) in wireless sensor networks (WSNs).

Mehdi Hosseinzadeh1,2, Joon Yoo3, Saqib Ali4

  • 1Institute of Research and Development, Duy Tan University, Da Nang, Vietnam.

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|August 11, 2023
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This study introduces a cluster-based trusted routing technique (CTRF) for wireless sensor networks (WSNs) that enhances security and energy efficiency. CTRF utilizes a weighted trust mechanism and fire hawk optimizer for secure data transmission, outperforming existing methods.

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Area of Science:

  • Computer Science
  • Network Security
  • Optimization Algorithms

Background:

  • Wireless Sensor Networks (WSNs) are increasingly vital in critical applications like healthcare and defense.
  • Ensuring data integrity and preventing manipulation in WSNs is a significant security challenge.
  • Existing trust management schemes often overlook the energy constraints of sensor nodes.

Purpose of the Study:

  • To propose a novel cluster-based trusted routing technique (CTRF) for enhancing security in WSNs.
  • To improve network efficiency by considering the limited energy resources of sensor nodes.
  • To introduce a robust trust management system that adapts to node behavior.

Main Methods:

  • Developed a weighted trust mechanism (WTM) incorporating exponential coefficients for reception rate, redundancy rate, and energy state.
  • Implemented a fire hawk optimizer for cluster head selection based on energy and trust levels.
  • Proposed a new cost function for clustering considering location, energy, base station distance, and cluster size.
  • Utilized a trusted routing algorithm for inter-cluster path selection based on route energy, quality, reliability, and hop count.

Main Results:

  • CTRF demonstrated superior performance in energy efficiency, throughput, and reduced packet loss rate compared to other secure routing methods.
  • The proposed weighted trust mechanism effectively identified and mitigated malicious node behavior.
  • The fire hawk optimizer-based clustering improved network longevity and data transmission reliability.

Conclusions:

  • CTRF offers a significant advancement in securing wireless sensor networks through intelligent trust management and energy-aware routing.
  • The approach effectively balances security requirements with the operational constraints of WSNs.
  • CTRF presents a promising solution for secure and efficient data transfer in critical WSN applications.