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Related Experiment Videos

Self-adaptive trust based ABR protocol for MANETs using Q-learning.

Anitha Vijaya Kumar1, Akilandeswari Jeyapal2

  • 1Dayananda Sagar College of Engineering, Bangalore 560078, India.

Thescientificworldjournal
|September 26, 2014
PubMed
Summary

This study introduces a Q-learning based trust mechanism for Mobile Ad Hoc Networks (MANETs). The enhanced Associativity Based Routing (ABR) protocol improves packet delivery and reduces route selection time by incorporating adaptive trust.

Related Experiment Videos

Area of Science:

  • Computer Science
  • Network Security
  • Artificial Intelligence

Background:

  • Mobile Ad Hoc Networks (MANETs) present significant security challenges due to their dynamic topology and the need for node-to-node trust.
  • Detecting misbehavior in MANETs is complex because of the nomadic nature of nodes and shared routing information.
  • Trust is a critical component for secure routing protocols in MANETs.

Purpose of the Study:

  • To develop a secure and stable routing mechanism for MANETs by integrating trust computation.
  • To evaluate the effectiveness of Q-learning for adaptive trust management in MANETs.
  • To enhance the Associativity Based Routing (ABR) protocol with a trust-based approach.

Main Methods:

  • Implemented Q-learning to compute a trust score for individual nodes within the MANET.
  • Developed a Q-learning based trust Associativity Based Routing (ABR) protocol.
  • Calculated secure and stable routes using a weighted average of node trust values and associativity ticks.

Main Results:

  • The Q-learning based trust ABR protocol demonstrated a 27% improvement in packet delivery ratio.
  • Route selection time was reduced by 40% compared to the standard ABR protocol.
  • Q-learning achieved optimal results in adaptive trust computation for MANETs.

Conclusions:

  • Q-learning is an effective technique for adaptive trust management in MANETs.
  • Integrating trust computation into routing protocols significantly enhances network performance and security.
  • The proposed Q-learning based trust ABR protocol offers a more robust and efficient solution for secure routing in MANETs.