Computation offloading to nearby devices offers resources-constrained mobile devices the
opportunity to reduce local computation load and energy consumption when supporting …

Advances in Internet of Things (IoT) bring massive intelligent applications, many of which
are computation intensive and time sensitive. With limited resources of IoT devices, mobile …

The mobile application market is growing very fast. More and more applications require
intensive computations. However, computation power of mobile devices is limited and does …

Computation offloading is a promising approach for reducing the computational load and
extending the battery lifetime of mobile nodes. A network consisting of several wireless …

Computation offloading is an upcoming approach to increase battery life of mobile devices
overburdened by resource-consuming applications. In multi-hop networks, computation …

The task offloading problem, which aims to balance the energy consumption and latency for
Mobile Edge Computing (MEC), is still a challenging problem due to the dynamic changing …

Enabling computation intensive tasks with low latency requirements on mobile devices
considering their battery life time is one of the challenges in 5G networks. 5G is an era with …

This paper proposes a method of joint wireless network and job service allocation for use
with mobile computation offloading where task completion times have deadline constraints …

The deployment of cloud and edge computing forms a three-tier mobile computing network,
where each task can be processed locally, by the edge nodes, or by the remote cloud …

Mobile edge computing (MEC) is an emergent architecture, which brings computation and
storage resources to the edge of mobile network and provides rich services and applications …