Computation offloading technology extends cloud computing to the edge of the access
network close to users, bringing many benefits to terminal devices with limited battery and …

Traditional multi-access edge computing (MEC) often has difficulty processing large
amounts of data in the face of high computationally intensive tasks, so it needs to offload …

Unmanned Aerial Vehicle (UAV)-enabled mobile edge computing (MEC) is considered to
offer computational capabilities to the resource-constraints end-users. In this paper, we …

Mobile edge computing can effectively reduce service latency and improve service quality
by offloading computation-intensive tasks to the edges of wireless networks. Due to the …

Users in heterogeneous wireless networks may generate massive amounts of data that are
delay-sensitive or require computation-intensive processing. Owing to computation ability …

Unmanned aerial vehicle (UAV)-assisted computation offloading allows mobile devices
(MDs) to process computation-intensive and latency-sensitive tasks with limited or no …

With the emergence of multi-access edge computing (MEC) paradigm, mobile users who
have computation-intensive and low-latency tasks can exploit computing resources of …

Internet of Things computation offloading is a challenging problem, particularly in distant
places where mobile edge computing (MEC) or cloud infrastructure is absent. Fortunately …

The rapid development of the Internet of Things and wireless communication has resulted in
the emergence of many latency-constrained and computation-intensive applications such as …

Computation offloading has proven to be an effective method for facilitating resource-
intensive tasks on IoT mobile edge nodes with limited processing capabilities. Additionally …