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 …

Machine learning applications in sustainable water resource management: a systematic review

R Anjum, F Parvin, SA Ali - Emerging Technologies for Water Supply …, 2023 - Springer
For all living things, water is one of the most important supplies. We require water for a
variety of things, including food production, personal hygiene, electrical generation, fire …

[HTML][HTML] A novel Edge architecture and solution for detecting concept drift in smart environments

H Mehmood, A Khalid, P Kostakos, E Gilman… - Future Generation …, 2024 - Elsevier
The proliferation of the Internet of Things (IoT), artificial intelligence (AI), the adoption of 5G,
and progress towards 6G technology have led to the accumulation of massive amounts of …

Blockchain-based cloud-fog collaborative smart home authentication scheme

H Yang, Y Guo, Y Guo - Computer Networks, 2024 - Elsevier
With the rapid development of IoT technology, smart homes have emerged. At the same
time, data security and privacy protection are also of great concern. However, the traditional …

[HTML][HTML] T3OMVP: A Transformer-Based Time and Team Reinforcement Learning Scheme for Observation-Constrained Multi-Vehicle Pursuit in Urban Area

Z Yuan, T Wu, Q Wang, Y Yang, L Li, L Zhang - Electronics, 2022 - mdpi.com
Smart Internet of Vehicles (IoVs) combined with Artificial Intelligence (AI) will contribute to
vehicle decision-making in the Intelligent Transportation System (ITS). Multi-vehicle pursuit …

[HTML][HTML] Distributed agent-based orchestrator model for fog computing

A Liutkevičius, N Morkevičius, A Venčkauskas… - Sensors, 2022 - mdpi.com
Fog computing is an extension of cloud computing that provides computing services closer
to user end-devices at the network edge. One of the challenging topics in fog networks is the …

[PDF][PDF] Multi-layer fog-cloud architecture for optimizing the placement of IoT applications in smart cities

M Aldossary - Computers, Materials & Continua, 2023 - researchgate.net
In the smart city paradigm, the deployment of Internet of Things (IoT) services and solutions
requires extensive communication and computing resources to place and process IoT …

Transformer in reinforcement learning for decision-making: A survey

W Yuan, J Chen, S Chen, D Feng, Z Hu, P Li… - Frontiers of Information …, 2024 - Springer
Reinforcement learning (RL) has become a dominant decision-making paradigm and has
achieved notable success in many real-world applications. Notably, deep neural networks …

[HTML][HTML] Blockchain-Enhanced Sensor-as-a-Service (SEaaS) in IoT: Leveraging Blockchain for Efficient and Secure Sensing Data Transactions

BUI Khan, KW Goh, MS Mir, NFL Mohd Rosely, AA Mir… - Information, 2024 - mdpi.com
As the Internet of Things (IoT) continues to revolutionize value-added services, its
conventional architecture exhibits persistent scalability and security vulnerabilities …

[PDF][PDF] A Review Load balancing algorithms in Fog Computing

RM Mahdi, HJ Hassan… - BIO Web of …, 2024 - bio-conferences.org
With the rapid advance of the Internet of Things (IoT), technology has entered a new era. It is
changing the way smart devices relate to such fields as healthcare, smart cities, and …