… and perform adaptive low-latency Medium Access Control (MAC… on task offloading, we design
an algorithm for an intelligent … , minimize its own energy and latency objectives. Our results …

… Therefore, the performances of the network like latency and energy … intelligent task mapping
and scheduling techniques based on Genetic Algorithm (GA), and proposes a novel task …

… the latency and energy consumption of ECVs, in this paper, we assume that the task It,k can
… Consequently, our objective is to jointly optimize the energy and latency of all the tasks. The …

… tasks. The IDs can offload the computational tasks to edge nodes to achieve low latency and
energy … problem (total sum of energy consumption and latency). Three different computing …

… latency for prolonged battery life. Taking into account the user preference impacts on task …
obtain refined offloading policies between low latency and energy consumption based on user …

… intelligent models and dynamically adjust the offloading strategy to achieve low latency,
while controlling energy … solution in terms of convergence, latency, and energy consumption. …

… have paved the way of using Intelligent Cognitive Assistants (ICA) … task latency and energy
efficiency makes the calculation more complex, which generates higher latency and energy …

… is to design a latencyaware offloading strategy for minimizing the latency considering
tasks’ … Wang, “DEBTS: Delay energy balanced task scheduling in homogeneous fog networks,” …

… a latency-guaranteed and energy-efficient task offloading (… the deadline on the task completion
time and its energy level. To … for intelligent applications to an external cloud is a promising …

… Our aim is to minimize the latency experienced by end-users and the energy … tasks, shows
the efficacy of our solution. Overall, Nimbus reduces the task latency by $ 4Â and the energy …