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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
Summary
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.
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.
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