Learning-based URLLC-aware task offloading for internet of health things
In the Internet of Health Things (IoHT)-based e-Health paradigm, a large number of
computational-intensive tasks have to be offloaded from resource-limited IoHT devices to …
computational-intensive tasks have to be offloaded from resource-limited IoHT devices to …
Vehicle assisted computing offloading for unmanned aerial vehicles in smart city
Smart city emerges a promising paradigm for improving operational efficiency of city and
comfort of people. With embedded multi-sensors, Unmanned Aerial Vehicles (UAVs) hold …
comfort of people. With embedded multi-sensors, Unmanned Aerial Vehicles (UAVs) hold …
Latency and energy optimization for MEC enhanced SAT-IoT networks
Mobile edge computing (MEC) enhanced satellite based internet of things (SAT-IoT) is an
important complement for terrestrial networks based IoT, especially for the remote and …
important complement for terrestrial networks based IoT, especially for the remote and …
Fusion of federated learning and industrial Internet of Things: A survey
Industrial Internet of Things (IIoT) lays a new paradigm for the concept of Industry 4.0 and
paves an insight for new industrial era. Nowadays smart machines and smart factories use …
paves an insight for new industrial era. Nowadays smart machines and smart factories use …
Energy-aware task scheduling and offloading using deep reinforcement learning in SDN-enabled IoT network
Abstract The fifth-generation (5G) mobile network services have made tremendous growth in
the Internet of Things (IoT) network. A counters number of battery-powered IoT devices are …
the Internet of Things (IoT) network. A counters number of battery-powered IoT devices are …
Federated learning for industrial internet of things in future industries
The Industrial Internet of Things (IIoT) offers promising opportunities to revolutionize the
operation of industrial systems and become a key enabler of future industries. Recently …
operation of industrial systems and become a key enabler of future industries. Recently …
Mobile collaborative secrecy performance prediction for artificial IoT networks
L Xu, X Zhou, X Li, RH Jhaveri… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The integration of artificial intelligence and Internet of Things (IoT) has promoted the rapid
development of artificial IoT (AIoT) networks. A wide range of AIoT applications have …
development of artificial IoT (AIoT) networks. A wide range of AIoT applications have …
Machine learning aided air traffic flow analysis based on aviation big data
Timely and efficient air traffic flow management (ATFM) is a key issue in future dense air
traffic. The emerging demands for unmanned aerial vehicles and general aviation aircraft …
traffic. The emerging demands for unmanned aerial vehicles and general aviation aircraft …
Intrusion detection for maritime transportation systems with batch federated aggregation
As a fast-growing and promising technology, Internet of Things (IoT) significantly promotes
the informationization and intelligentization of Maritime Transportation System (MTS). The …
the informationization and intelligentization of Maritime Transportation System (MTS). The …
Resource provisioning in edge computing for latency-sensitive applications
A Abouaomar, S Cherkaoui, Z Mlika… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Low-latency IoT applications, such as autonomous vehicles, augmented/virtual reality
devices, and security applications, require high computation resources to make decisions on …
devices, and security applications, require high computation resources to make decisions on …