Optimizing System Latency for Blockchain-Encrypted Edge Computing in Internet of Vehicles

TL;DR

This paper presents a security framework combining blockchain's Raft consensus with edge computing for IoV, optimizing system latency through theoretical modeling and convex optimization to enhance security and efficiency.

Contribution

It introduces a novel integration of Raft consensus with edge computing for IoV security and derives a delay minimization model with an optimization solution.

Findings

Significant reduction in system delay through optimized data extraction rate.

Stable latency variations achieved with the proposed optimization.

Framework effectively enhances security and efficiency in IoV edge computing.

Abstract

As Internet of Vehicles (IoV) technology continues to advance, edge computing has become an important tool for assisting vehicles in handling complex tasks. However, the process of offloading tasks to edge servers may expose vehicles to malicious external attacks, resulting in information loss or even tampering, thereby creating serious security vulnerabilities. Blockchain technology can maintain a shared ledger among servers. In the Raft consensus mechanism, as long as more than half of the nodes remain operational, the system will not collapse, effectively maintaining the system's robustness and security. To protect vehicle information, we propose a security framework that integrates the Raft consensus mechanism from blockchain technology with edge computing. To address the additional latency introduced by blockchain, we derived a theoretical formula for system delay and proposed a convex optimization solution to minimize the system latency, ensuring that the system meets the requirements for low latency and high reliability. Simulation results demonstrate that the optimized data extraction rate significantly reduces system delay, with relatively stable variations in latency. Moreover, the proposed optimization solution based on this model can provide valuable insights for enhancing security and efficiency in future network environments, such as 5G and next-generation smart city systems.