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A Smart Collaborative Routing Protocol for Reliable Data Diffusion in IoT Scenarios.

Zheng-Yang Ai1, Yu-Tong Zhou2, Fei Song3

  • 1School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China. 17111017@bjtu.edu.cn.

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|June 15, 2018
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Summary
This summary is machine-generated.

This study introduces the Geographic energy aware routing and Inspecting Node (GIN) protocol for reliable Internet of Things (IoT) data transmission. GIN enhances security and performance against malicious attacks, outperforming traditional routing schemes.

Keywords:
IoTgame theorygeographic routing protocolinspecting node mechanismreliable data diffusion

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Area of Science:

  • Computer Science
  • Network Security
  • Wireless Communication

Background:

  • Internet of Things (IoT) deployments face challenges in reliable data diffusion due to random node placement, limited resources, and unattended features.
  • Wireless transmissions in IoT are vulnerable to malicious attacks like wormhole and Sybil attacks, compromising data integrity.
  • Geographic location-based schemes offer a promising approach to defend against such security threats.

Purpose of the Study:

  • To propose a smart collaborative routing protocol, Geographic energy aware routing and Inspecting Node (GIN), for reliable data exchange in IoT networks.
  • To enhance the security and efficiency of wireless transmissions against unauthorized access and malicious activities.
  • To address the limitations of current routing protocols in meeting the demands of robust data diffusion.

Main Methods:

  • The proposed GIN protocol integrates directed diffusion routing, Greedy Perimeter Stateless Routing (GPSR), and an inspecting node mechanism.
  • Theoretical analysis is employed to detail the model establishment and implementation processes of GIN.
  • Game theory is leveraged to elect an inspecting node for monitoring network behaviors.

Main Results:

  • Performance evaluation comparing GIN against Flooding, GPSR, and GEAR demonstrates significant improvements.
  • GIN effectively reduces transmission delay and packet loss ratio.
  • The proposed protocol achieves higher throughput compared to traditional schemes.

Conclusions:

  • The Geographic energy aware routing and Inspecting Node (GIN) protocol effectively guarantees the reliability of data exchanging in IoT deployments.
  • GIN provides a robust defense against malicious attacks by integrating geographic awareness and intelligent node inspection.
  • Simulation results validate that GIN outperforms existing routing protocols in key network performance metrics.