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A Multi-Attribute Pheromone Ant Secure Routing Algorithm Based on Reputation Value for Sensor Networks.

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  • 1College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China. zhangl@njupt.edu.cn.

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Summary
This summary is machine-generated.

This study introduces a novel secure routing algorithm for wireless sensor networks (WSNs) that enhances data security and network lifespan. The multi-attribute pheromone ant secure routing algorithm improves energy efficiency and node reliability.

Keywords:
MPASRant-colony optimization algorithmtrusted secure routing algorithmwireless sensor network

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Area of Science:

  • Computer Science
  • Network Engineering
  • Cybersecurity

Background:

  • Wireless sensor networks (WSNs) face challenges including limited resources, data security vulnerabilities, and short operational lifecycles.
  • Traditional ant-colony optimization (ACO) algorithms for WSN routing suffer from local convergence and neglect critical factors like residual node energy.

Purpose of the Study:

  • To develop an efficient and trusted secure routing algorithm for WSNs.
  • To address limitations of traditional ACO algorithms in WSN environments.
  • To enhance data transmission security and network longevity.

Main Methods:

  • Introduction of a multi-attribute pheromone ant secure routing algorithm based on reputation value (MPASR).
  • Incorporation of node reputation value, residual energy, and transmission delay into a synthetic pheromone.
  • Improvement of node filtering based on communication behavior coincidence rates and update methods.

Main Results:

  • MPASR reduces network energy consumption and enhances node reputation reliability.
  • The algorithm effectively selects optimal data transmission paths by integrating multiple attributes into the pheromone calculation.
  • Simulation results demonstrate significant improvements in data transmission security and routing service quality.

Conclusions:

  • The proposed MPASR algorithm offers a robust solution for secure and efficient routing in WSNs.
  • MPASR effectively balances security, energy efficiency, and network performance.
  • This approach represents a significant advancement over traditional ACO methods for WSNs.