Task offloading is critical to enable various computation intensive applications in vehicular
networks as well as accelerate the intellectualization of transportation system. In this paper …

Future generation of Electric Vehicles (EVs) equipped with modern technologies will impose
a significant burden on computation and communication to the network due to the vast …

This paper presents the design and implementation of a hierarchical and multilayered
computing framework, specifically tailored to analyze the benefits of Named Data …

Most existing research on autonomous vehicle groups mainly focuses on semi-centralized
network control, without considering computational difficulties caused by the increasing …

This letter studies a delay-optimal multi-destination computation offloading system, where
the subtasks are transmitted to multiple Edge Computing Servers (ECSs) sequentially due to …

Vehicular cloud computing (VCC) is a promising paradigm for efficiently utilizing and sharing
computing and storage resources on vehicles. However, the network topology and the …

Vehicle-to-everything V2X applications usually have strict latency requirements that can be
difficult to meet in traditional cloud-centric networks. By pushing resources to edge servers …

Mobile edge computing has been regarded as a new paradigm to achieve mobile
computation offloading (MCO), which enables resource-limited mobile devices (MDs) to …

Vehicle edge computing (VEC) offers users low-latency and high-reliability services by using
computational resources at the network's edge. Nevertheless, because of inadequate …

Highly-dynamic (HD) map is an indispensable building block in the future of autonomous
driving, allowing for fine-grained environmental awareness, precise localization, and route …