On the road to 6G: Visions, requirements, key technologies, and testbeds

CX Wang, X You, X Gao, X Zhu, Z Li… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Fifth generation (5G) mobile communication systems have entered the stage of commercial
deployment, providing users with new services, improved user experiences as well as a host …

[HTML][HTML] A review on fog computing: issues, characteristics, challenges, and potential applications

R Das, MM Inuwa - Telematics and Informatics Reports, 2023 - Elsevier
Fog computing is a paradigm that utilizes the advantages of both the cloud and the edge
devices providing quality services, reducing latency, providing mobility support, multi …

Fog computing approaches in IoT-enabled smart cities

M Songhorabadi, M Rahimi… - Journal of Network and …, 2023 - Elsevier
These days, the development of smart cities, specifically in location-aware, latency-sensitive,
and security-crucial applications (such as emergency fire events, patient health monitoring …

[HTML][HTML] From sensors to safety: Internet of Emergency Services (IoES) for emergency response and disaster management

R Damaševičius, N Bacanin, S Misra - Journal of Sensor and Actuator …, 2023 - mdpi.com
The advancement in technology has led to the integration of internet-connected devices and
systems into emergency management and response, known as the Internet of Emergency …

Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions

S Ahmad, I Shakeel, S Mehfuz, J Ahmad - Computer Science Review, 2023 - Elsevier
In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

Offloading mechanisms based on reinforcement learning and deep learning algorithms in the fog computing environment

DH Abdulazeez, SK Askar - Ieee Access, 2023 - ieeexplore.ieee.org
Fog computing has emerged as a computing paradigm for resource-restricted Internet of
things (IoT) devices to support time-sensitive and computationally intensive applications …

State-of-the-art load balancing algorithms for mist-fog-cloud assisted paradigm: a review and future directions

SS Tripathy, K Mishra, DS Roy, K Yadav… - … Methods in Engineering, 2023 - Springer
The rapid growth of IoT devices leads to increasing requests. These tremendous requests
cannot be processed by IoT devices due to the computational power of IoT devices and the …

Resource scheduling in edge computing: Architecture, taxonomy, open issues and future research directions

M Raeisi-Varzaneh, O Dakkak, A Habbal… - IEEE Access, 2023 - ieeexplore.ieee.org
The implementation of the Internet of Things and 5G communications has pushed
centralized cloud computing toward edge computing resulting in a paradigm shift in …

[HTML][HTML] Networking architectures and protocols for IoT applications in smart cities: Recent developments and perspectives

D Kanellopoulos, VK Sharma, T Panagiotakopoulos… - Electronics, 2023 - mdpi.com
Numerous municipalities employ the smart city model in large cities to improve the quality of
life of their residents, utilize local resources efficiently, and save operating expenses. This …

[HTML][HTML] Cache in fog computing design, concepts, contributions, and security issues in machine learning prospective

MA Naeem, YB Zikria, R Ali, U Tariq, Y Meng… - Digital Communications …, 2023 - Elsevier
The massive growth of diversified smart devices and continuous data generation poses a
challenge to communication architectures. To deal with this problem, communication …