… In this study, we have focused on execution of vehicular network tasks in various computing
paradigms. We have tried to present our research in an effective and systematic manner to …

… To address these issues and given the high dynamics of vehicular networks, we introduce …
In the rest of this section, we present the communications model and task execution model in …

… Considering the time consumption of the computation task execution and the mobility of the
vehicles, we present an efficient predictive combination-mode relegation scheme, where the …

… tasks to the most suitable MEC server. In general, the communications in vehicular networks
involves two ways, that is, vehicle… large enough to neglect the tasks’ execution time on them, …

… work for MEC-enabled vehicular networks to provide low-latency … network topology, we
propose a location-aware task … algorithm to schedule the task execution order and allocate …

… 3.1 Vehicular Network Model We consider a 5G-enabled vehicular network as shown in Fig.
… accomplish reward, data size and required CPU cycles to estimate the actual task execution …

… model the execution process of every single task. Specifically, … analysis, and routing protocol
design for vehicular networks. … design in cognitive radio networks and vehicular networks. …

… This causes a delay in the execution of some tasks that are not required for different …
vehicular networks. In this work, an efficient task execution by fog node ( E T E F N ) that gives task …

… We assume that each vehicle has a computation task, which can be executed in any layer.
Moreover, collaborative computing is considered in both MEC layer and local computing layer …

… of task offloading by jointly considering the communication and computation resources in a
mobile vehicular network. … and execute the task. First, we calculate the transmission delay (lt …