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A cluster-tree-based trusted routing algorithm using Grasshopper Optimization Algorithm (GOA) in Wireless Sensor

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Summary

This study introduces CTTRG, a novel routing method for wireless sensor networks (WSNs) that simultaneously ensures energy efficiency and security. CTTRG effectively detects malicious nodes and enhances network performance by balancing lifetime and security.

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Area of Science:

  • Computer Science
  • Network Security
  • Wireless Sensor Networks

Background:

  • Existing routing protocols in wireless sensor networks (WSNs) often address energy efficiency or security in isolation.
  • Many WSN applications require simultaneous guarantees for both energy efficiency and network security.
  • A trade-off between network lifetime and security is often necessary due to the limited energy of sensor nodes.

Purpose of the Study:

  • To propose a comprehensive cluster-tree-based trusted routing method for WSNs that integrates energy efficiency and security.
  • To develop a novel routing scheme that addresses the limitations of existing protocols by considering both critical aspects simultaneously.
  • To enhance the overall performance and reliability of WSNs in diverse application scenarios.

Main Methods:

  • Introduction of a cluster-tree-based trusted routing method named CTTRG.
  • Implementation of a distributed time-variant trust (TVT) model to assess sensor node behavior based on black hole, wormhole, and flooding probabilities.
  • Utilization of the Grasshopper Optimization Algorithm (GOA) to construct a trusted routing tree (GTRT) for secure communication paths.
  • Design of a multi-objective fitness function evaluating cluster head distance, trust level, and energy.

Main Results:

  • CTTRG demonstrates effective detection of malicious nodes.
  • The proposed method shows a reduced packet loss rate.
  • CTTRG achieves a lower end-to-end delay compared to existing methods.
  • Evaluation confirms the suitable and successful performance of CTTRG in enhancing WSN security and efficiency.

Conclusions:

  • CTTRG offers a robust solution for secure and energy-efficient routing in WSNs.
  • The integration of a TVT model and GOA-based routing tree significantly improves network security and stability.
  • The findings highlight the importance of a holistic approach to routing protocol design in WSNs.