The future of healthcare internet of things: a survey of emerging technologies
The impact of the Internet of Things (IoT) on the advancement of the healthcare industry is
immense. The ushering of the Medicine 4.0 has resulted in an increased effort to develop …
immense. The ushering of the Medicine 4.0 has resulted in an increased effort to develop …
Healthcare Internet of Things (H-IoT): Current trends, future prospects, applications, challenges, and security issues
Advancements in Healthcare Internet of Things (H-IoT) systems have created new
opportunities and solutions for healthcare services, including the remote treatment and …
opportunities and solutions for healthcare services, including the remote treatment and …
Multi-objective parallel task offloading and content caching in D2D-aided MEC networks
In device to device (D2D) aided mobile edge computing (MEC) networks, by implementing
content caching and D2D links, the edge server and nearby mobile devices can provide task …
content caching and D2D links, the edge server and nearby mobile devices can provide task …
Deep reinforcement learning for task offloading in mobile edge computing systems
In mobile edge computing systems, an edge node may have a high load when a large
number of mobile devices offload their tasks to it. Those offloaded tasks may experience …
number of mobile devices offload their tasks to it. Those offloaded tasks may experience …
Lyapunov-guided deep reinforcement learning for stable online computation offloading in mobile-edge computing networks
Opportunistic computation offloading is an effective method to improve the computation
performance of mobile-edge computing (MEC) networks under dynamic edge environment …
performance of mobile-edge computing (MEC) networks under dynamic edge environment …
An overview of service placement problem in fog and edge computing
To support the large and various applications generated by the Internet of Things (IoT), Fog
Computing was introduced to complement the Cloud Computing and offer Cloud-like …
Computing was introduced to complement the Cloud Computing and offer Cloud-like …
Scheduling IoT applications in edge and fog computing environments: A taxonomy and future directions
Fog computing, as a distributed paradigm, offers cloud-like services at the edge of the
network with low latency and high-access bandwidth to support a diverse range of IoT …
network with low latency and high-access bandwidth to support a diverse range of IoT …
Application management in fog computing environments: A taxonomy, review and future directions
The Internet of Things (IoT) paradigm is being rapidly adopted for the creation of smart
environments in various domains. The IoT-enabled cyber-physical systems associated with …
environments in various domains. The IoT-enabled cyber-physical systems associated with …
A novel fog computing approach for minimization of latency in healthcare using machine learning
In the recent scenario, the most challenging requirements are to handle the massive
generation of multimedia data from the Internet of Things (IoT) devices which becomes very …
generation of multimedia data from the Internet of Things (IoT) devices which becomes very …
Reinforcement learning based resource management for fog computing environment: Literature review, challenges, and open issues
In the IoT-based systems, the fog computing allows the fog nodes to offload and process
tasks requested from IoT-enabled devices in a distributed manner instead of the centralized …
tasks requested from IoT-enabled devices in a distributed manner instead of the centralized …