To enhance on-road environmental perception for autonomous driving, accurate and real-
time analytics on high-resolution video frames generated from on-board cameras becomes …

The main aim of edge computing is to facilitate the low power computational IoT sensors in
processing heavy tasks. Sensors should be enough efficient to offload the required task and …

With the rapid development of innovative applications, lots of computation-intensive and
delay-sensitive tasks are emerging. Task offloading, which is regarded as a key technology …

Unmanned aerial vehicle (UAV) plays an important application scenario in mobile edge
computing (MEC). In this paper, we jointly optimize the computing offloading strategy in MEC …

Fog Computing is today a wide used paradigm that allows to distribute the computation in a
geographic area. This not only makes possible to implement time-critical applications but …

In today's era, Internet of Things (IoT) devices generate a vast amount of data, which is
typically stored in the cloud environment and can be accessed by edge and IoT devices. The …

The surging penetration of video cameras drives the rapid growth of video frames processed
on the mobile edge. However, the scarce bandwidth and limited edge computing resources …

Multi-access Edge Computing (MEC) enables IoT applications to place their services in the
edge servers of mobile networks, balancing Quality-of-Service (QoS) and energy-efficiency …

With the rapid development of the Internet of Things (IoT), data generated by IoT devices are
also increasing exponentially. The edge computing has alleviated the problems of limited …

By offloading some computational tasks to the edge server, edge computing can help relieve
the increasing computation burden of mobile users and improve the quality of experience of …