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Enabling Fog-Blockchain Computing for Autonomous-Vehicle-Parking System: A Solution to Reinforce IoT-Cloud Platform

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Summary

This study introduces a smart autonomous vehicle parking (SAVP) system using fog computing and blockchain. It enhances parking efficiency, security, and privacy for autonomous vehicles (AVs).

Keywords:
Internet of Thingsblockchaincloud computingcryptographyfog/edge computingradio-frequency identificationsmart autonomous parking system

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Intelligent Transportation Systems

Background:

  • Smart parking systems leverage IoT and blockchain for enhanced automation.
  • Existing systems face challenges in efficiency, privacy, and security.
  • Autonomous vehicles (AVs) require robust parking solutions.

Purpose of the Study:

  • To propose a smart autonomous vehicle parking (SAVP) system.
  • To integrate fog computing and blockchain for improved performance.
  • To address privacy and security concerns in AV parking.

Main Methods:

  • Developed an SAVP system utilizing fog computing as a middleware layer.
  • Implemented a lightweight integrated blockchain and cryptography (LIBC) module for access control.
  • Conducted a proof-of-concept implementation to evaluate system performance.

Main Results:

  • The SAVP system demonstrated high efficiency in terms of average response time, throughput, privacy, and security.
  • The LIBC module effectively managed AV access during all parking phases.
  • The system proved to be a scalable and cost-effective solution.

Conclusions:

  • The proposed SAVP system offers a robust and secure parking solution for autonomous vehicles.
  • Fog computing and blockchain integration significantly enhance smart parking capabilities.
  • This research provides a foundation for future scalable smart parking infrastructure.