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Edge-assisted indexing for highly dynamic and static data in mixed reality connected autonomous vehicles

Intelligent and Converged Networks 2024年第2期5卷 167-179页

作者： Daniel Mawunyo Doe Dawei Chen Kyungtae Han Haoxin Wang Jiang Xie Zhu Han Department of Electrical and Computer Engineering University of HoustonHoustonTX 77004USA infotech labs Toyota Motor North America Research and DevelopmentMountain ViewCA 94043USA Department of Computer Science Georgia State UniversityAtlantaGA 30302USA Department of Electrical and Computer Engineering University of North Carolina at CharlotteCharlotteNC 28223USA

The integration of Mixed Reality(MR)technology into Autonomous Vehicles(AVs)has ushered in a new era for the automotive industry,offering heightened safety,convenience,and passenger ***,the substantial and varied data generated by MR-Connected AVs(MR-CAVs),encompassing both highly dynamic and static information,presents formidable challenges for efficient data management and *** this paper,we formulate our indexing problem as a constrained optimization problem,with the aim of maximizing the utility function that represents the overall performance of our indexing *** optimization problem encompasses multiple decision variables and constraints,rendering it mathematically infeasible to solve ***,we propose a heuristic algorithm to address the combinatorial complexity of the *** heuristic indexing algorithm efficiently divides data into highly dynamic and static categories,distributing the index across Roadside Units(RSUs)and optimizing query *** approach takes advantage of the computational capabilities of edge servers or RSUs to perform indexing operations,thereby shifting the burden away from the vehicles *** algorithm strategically places data in the cache,optimizing cache hit rate and space utilization while reducing *** quantitative evaluation demonstrates the superiority of our proposed scheme,with significant reductions in latency(averaging 27%-49.25%),a 30.75%improvement in throughput,a 22.50%enhancement in cache hit rate,and a 32%-50.75%improvement in space utilization compared to baseline schemes.

关键词： mixed reality autonomous vehicles data indexing edge computing query optimization

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