Resource scheduling in edge computing: A survey
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …
networks, the surging demand for data communications and computing calls for the …
Socialized learning: A survey of the paradigm shift for edge intelligence in networked systems
Amidst the robust impetus from artificial intelligence (AI) and big data, edge intelligence (EI)
has emerged as a nascent computing paradigm, synthesizing AI with edge computing (EC) …
has emerged as a nascent computing paradigm, synthesizing AI with edge computing (EC) …
Green Internet of Vehicles (IoV) in the 6G era: Toward sustainable vehicular communications and networking
As one of the most promising applications in future Internet of Things, Internet of Vehicles
(IoV) has been acknowledged as a fundamental technology for developing the Intelligent …
(IoV) has been acknowledged as a fundamental technology for developing the Intelligent …
Lyapunov-guided delay-aware energy efficient offloading in IIoT-MEC systems
H Wu, J Chen, TN Nguyen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the increasingly humanized and intelligent operation of Industrial Internet of Things
(IIoT) systems in Industry 5.0, delay-sensitive and compute-intensive (DSCI) devices have …
(IIoT) systems in Industry 5.0, delay-sensitive and compute-intensive (DSCI) devices have …
Mobility-aware offloading and resource allocation in a MEC-enabled IoT network with energy harvesting
Mobile-edge computing (MEC)-enabled Internet of Things (IoT) networks have been
deemed a promising paradigm to support massive energy-constrained and computation …
deemed a promising paradigm to support massive energy-constrained and computation …
Energy-efficient space–air–ground integrated edge computing for internet of remote things: A federated DRL approach
Y Liu, L Jiang, Q Qi, S Xie - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Space–air–ground integrated edge computing is expecting to provide pervasive
computation services for Internet of Things (IoT), especially in remote areas. However, the …
computation services for Internet of Things (IoT), especially in remote areas. However, the …
Green energy aware and cluster based communication for future load prediction in IoT
Green energy management has become a critical economic solution for efficient energy
consumption; however, the available literature is deficient in emphasising the importance of …
consumption; however, the available literature is deficient in emphasising the importance of …
Energy efficiency and delay tradeoff in an MEC-enabled mobile IoT network
Mobile-edge computing (MEC) has recently emerged as a promising technology in the 5G
era. It is deemed an effective paradigm to support computation intensive and delay-critical …
era. It is deemed an effective paradigm to support computation intensive and delay-critical …
Computation offloading and wireless resource management for healthcare monitoring in fog-computing-based internet of medical things
Y Qiu, H Zhang, K Long - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
During the COVID-19 pandemic, Internet of Medical Things (IoMT) has been playing an
important role in controlling the development of the epidemic, including enabling doctors in …
important role in controlling the development of the epidemic, including enabling doctors in …
Energy-efficient cooperative resource allocation and task scheduling for Internet of Things environments
Abstract Offloading Internet of Things (IoT) tasks to the cloud for further processing might not
always lead to an optimal execution time, particularly in situations such as resource …
always lead to an optimal execution time, particularly in situations such as resource …