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Context-Aware Trust and Reputation Routing Protocol for Opportunistic IoT Networks.

Jagdeep Singh1, Sanjay Kumar Dhurandher2,3, Isaac Woungang4

  • 1Sant Longowal Institute of Engineering and Technology, Longowal 148106, India.

Sensors (Basel, Switzerland)
|December 17, 2024
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Summary
This summary is machine-generated.

This study introduces a Context-Aware Trust and Reputation Routing (CATR) protocol to improve data forwarding in opportunistic IoT networks by dynamically assessing node trustworthiness, reducing packet loss and delays.

Keywords:
Opportunistic Network Environment (ONE) simulatorbeta distributionopportunistic IoT networksreputationsecuritytrust

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Area of Science:

  • Computer Science
  • Networking
  • Internet of Things (IoT)

Background:

  • Opportunistic IoT (OppIoT) networks face challenges with non-cooperative nodes, causing data forwarding issues like packet loss and delays.
  • Existing routing protocols struggle to efficiently manage node behavior in dynamic OppIoT environments.

Purpose of the Study:

  • To propose a novel Context-Aware Trust and Reputation Routing (CATR) protocol for OppIoT networks.
  • To enhance data dissemination efficiency and network performance by identifying and bypassing malicious nodes.

Main Methods:

  • Developed the CATR protocol, utilizing the beta distribution's probability density function and contextual factors.
  • Dynamically computed node trust and reputation values for intelligent routing decisions.
  • Conducted simulations using the ONE simulator to evaluate CATR's performance.

Main Results:

  • CATR demonstrated superior performance compared to Epidemic, BTRES, and PPHB+ protocols.
  • Achieved significant improvements: 22% in average latency, 15% in message drop reduction, and 9% in average hop count.
  • Performance gains were consistent across varying network parameters like node count and buffer size.

Conclusions:

  • The CATR protocol effectively addresses challenges posed by non-cooperative nodes in OppIoT networks.
  • CATR offers a robust solution for efficient and secure data dissemination in opportunistic networking environments.