Offloading Decision and Resource Allocation in Mobile Edge Computing for Cost and Latency Efficiencies in Real-Time IoT

Offloading Decision and Resource Allocation in Mobile Edge Computing for Cost and Latency Efficiencies in Real-Time IoT

Internet of Things (IoT) devices can integrate with applications requiring intensive contextual data processing, intelligent vehicle control, healthcare remote sensing, VR, data mining, traffic management, and interactive applications. However, there are computationally intensive tasks that need to...

Full description

Bibliographic Details
Main Authors: Chanthol Eang, Seyha Ros, Seungwoo Kang, Inseok Song, Prohim Tam, Sa Math, Seokhoon Kim
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Electronics
Subjects:
offloading decision
Lagrange duality optimization
mobile edge computing
real-time IoT
resource allocation
Online Access:https://www.mdpi.com/2079-9292/13/7/1218

Internet

https://www.mdpi.com/2079-9292/13/7/1218

Similar Items