By integrating Mobile Edge Computing (MEC) into vehicular networks, vehicular edge computing extends computing capability to the vehicular network edge and hosts services in close proximity of connected vehicles. Parked Vehicles (PVs) occupy a large …
Vehicular edge computing (VEC) extends edge computing to vehicular networks by exploiting computation resources of vehicles to offload tasks from other vehicles and pedestrians. However, VEC faces several critical challenges such as the potential …
Parked Vehicle (PV) assistance in vehicular edge computing and networks is proposed to exploit underutilized computing resources from PVs for enhancing the resource capacity at the edge vehicular network. Containerization is used to improve task …
Parked vehicle assisted edge computing is a paradigm to employ parked vehicles for processing workloads in vehicular networks. They collaborate with edge servers for joint task execution within task deadline and parking durations. We study task …
Vehicular CrowdSensing (VCS) has become a promising paradigm to employ mobile vehicles for performing sensing tasks in supporting location-based services and applications. In traditional VCS, a central agency is highly depended on, from collecting …
Parked vehicle edge computing (PVEC) is proposed to enhance the resource capacity of vehicular networks by utilizing the resources from parked vehicles (PVs). Toward the flexible and fine-grained resource usage, we integrate the container-based …
Vehicular Edge Computing (VEC) has been studied as an important application of mobile edge computing in vehicular networks. Usually, the generalization of VEC involves large-scale deployment of dedicated servers, which will cause tremendous economic …