Over the Horizon of Connected Vehicles: Advancing Security, Reliability, and Cost-Efficiency through Vehicular Edge Computing

The rapid technological advancements have significantly impacted numerous industries, including the automotive sector. Amid the pursuit of creating a better vehicle, Connected Vehicles (CV) emerged as a candidate technology that promises safety and enhances the overall user experience. The initial trialsof realizing the CV technology involved the usage of Cloud Computing, but the idea was short-liveddue to high latency and bandwidth requirement issues. This deadlock scenario was then handled bybringing the computation resources closer to the user through Mobile Edge Computing (MEC). MECinvolves localized computation units that are relatively less powerful than the cloud but can handle theCV requirements. MEC technology was further enhanced by considering the CVs’ dynamic networktopology, which was then called Vehicular Edge Computing (VEC).Realizing CV technology through the VEC approach involves a central cloud server with multipleedge servers handling the requirements of the CVs. A general request from a CV can involve datadelivery or task offloading requirements via edge servers. Although VEC technology offers a nearlyassured solution to realize CV technology, it is often faced with challenges, such as mobility, resourceallocation, security, affordability, computation delay, scalability, power consumption, caching, etc.Considering a few such critical challenges, this work aims to bridge the gap in realizing CV technologythrough two contributions. The first work proposes a framework that incorporates MAC protocolconstraints in the data delivery optimization framework to ensure practicality and reliability in datatransmission. This work presents a data-frame collision-free optimization framework by adopting atime-slot-based MAC layer strategy that uses slot assignment to ensure collision-free data delivery formultiple vehicles across various transmission channels at each edge in different test conditions. Thesecond contribution incorporates security constraints along with the price incurred for task offloadingfrom vehicles to edges. This work presents a price optimization framework that minimizes the overallprice for realizing the network, making it affordable while considering various task-specific securityrequirements. Further, both works consider various CV-specific constraints, such as vehicle flow, edgeresources, and overlaps, thereby ensuring practicality

Recommended citation: Vaddhiparthy, SVSLN Surya Suhas. "Over the Horizon of Connected Vehicles: Advancing Security, Reliability, and Cost-Efficiency through Vehicular Edge Computing." PhD diss., International Institute of Information Technology Hyderabad, 2024.
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