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

作　　者：Cui Zhang Maoxin Ji Qiong Wu Pingyi Fan Qiang Fan 

机构地区：[1]School of Internet of Things Engineering,Wuxi Institute of Technology,Wuxi,214121,China [2]School of Internet of Things Engineering,Jiangnan University,Wuxi,214122,China [3]Department of Electronic Engineering,Beijing National Research Center for Information Science and Technology,Tsinghua University,Beijing,100084,China [4]Qualcomm,San Jose,CA 95110,USA

出　　处：《Computers, Materials & Continua》2025年第5期3519-3536,共18页计算机、材料和连续体(英文)

基　　金：supported in part by the National Natural Science Foundation of China under Grant No.61701197;in part by the National Key Research and Development Program of China under Grant No.2021YFA1000500(4);in part by the 111 project under Grant No.B23008.

摘　　要：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 systemdelay,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.

关 键 词：Blockchain edge computing internet of vehicles latency optimization 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]