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[HTML][HTML] Edge AI: a survey
Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …
refers to the practice of doing AI computations near the users at the network's edge, instead …
Energy-efficient offloading for mobile edge computing in 5G heterogeneous networks
Mobile edge computing (MEC) is a promising paradigm to provide cloud-computing
capabilities in close proximity to mobile devices in fifth-generation (5G) networks. In this …
capabilities in close proximity to mobile devices in fifth-generation (5G) networks. In this …
A survey of adaptation techniques in computation offloading
Computation offloading is a method of saving energy and time on resource-constrained
mobile devices by executing some tasks on the cloud. A computation offloading mechanism …
mobile devices by executing some tasks on the cloud. A computation offloading mechanism …
Smart healthcare: RL-based task offloading scheme for edge-enable sensor networks
With the wide application of Internet-of-Medical-Things (IoMTs) or sensor nodes which
equipped with sensors. These networked sensors are used to gather enormous data from …
equipped with sensors. These networked sensors are used to gather enormous data from …
JALAD: Joint accuracy-and latency-aware deep structure decoupling for edge-cloud execution
Recent years have witnessed a rapid growth of deep-network based services and
applications. A practical and critical problem thus has emerged: how to effectively deploy the …
applications. A practical and critical problem thus has emerged: how to effectively deploy the …
Resource allocation for information-centric virtualized heterogeneous networks with in-network caching and mobile edge computing
In order to better accommodate the dramatically increasing demand for data caching and
computing services, storage and computation capabilities should be endowed to some of …
computing services, storage and computation capabilities should be endowed to some of …
A distributed computation offloading strategy in small-cell networks integrated with mobile edge computing
Mobile edge computing is conceived as an appealing technology to enhance cloud
computing capability of mobile devices (MDs) at the edge of the networks. Although some …
computing capability of mobile devices (MDs) at the edge of the networks. Although some …
Energy-efficient distributed mobile crowd sensing: A deep learning approach
High-quality data collection is crucial for mobile crowd sensing (MCS) with various
applications like smart cities and emergency rescues, where various unmanned mobile …
applications like smart cities and emergency rescues, where various unmanned mobile …
Optimal cooperative offloading scheme for energy efficient multi-access edge computation
The distributed cooperative offloading technique with wireless setting and power
transmission provides a possible solution to meet the requirements of next-generation Multi …
transmission provides a possible solution to meet the requirements of next-generation Multi …
Computation offloading considering fronthaul and backhaul in small-cell networks integrated with MEC
Mobile edge computing (MEC) provides a promising way to bring enhanced computing
capabilities in proximity to user equipments (UEs). Various previous works have been done …
capabilities in proximity to user equipments (UEs). Various previous works have been done …