[HTML][HTML] Unleashing the power of IoT: A comprehensive review of IoT applications and future prospects in healthcare, agriculture, smart homes, smart cities, and …

R Chataut, A Phoummalayvane, R Akl - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) technology and devices represent an exciting field in computer
science that is rapidly emerging worldwide. The demand for automation and efficiency has …

[HTML][HTML] The Internet of Vehicles and Sustainability—Reflections on Environmental, Social, and Corporate Governance

M Kostrzewski, M Marczewska, L Uden - Energies, 2023 - mdpi.com
The Internet of Vehicles (IoV) has generated great interest among researchers from different
disciplines as it is multidisciplinary research. Sustainability for the IoV requires solutions …

A deep-Q learning scheme for secure spectrum allocation and resource management in 6G environment

P Bhattacharya, F Patel, A Alabdulatif… - … on Network and …, 2022 - ieeexplore.ieee.org
In this paper, we propose a dynamic spectrum allocation (DSA) scheme DeepBlocks at the
backdrop of sixth-generation (6G) communication networks that address the challenges of …

Dynamic link utilization empowered by reinforcement learning for adaptive storage allocation in MANET

RPP Anand, V Senthilkumar, G Kumar, A Rajendran… - Soft Computing, 2024 - Springer
In modern wireless networks, mobile nodes often deal with the challenge of maintaining a
sufficient number of data packets due to limited storage capacity within each cluster. It …

[HTML][HTML] Special Issue on the Internet of Things (IoT) in Smart Cities

P Bellini, G Pantaleo - Applied Sciences, 2023 - mdpi.com
In recent years, smart cities have significantly developed and greatly expanded their
potential. Thanks to advancements in the internet of things (IoT), new possibilities are …

Fully Distributed Multi-Agent Processing Strategy Applied to Vehicular Networks

VR de Lima, MLR de Campos - Vehicular Communications, 2024 - Elsevier
This work explores distributed processing techniques, together with recent advances in multi-
agent reinforcement learning (MARL) to implement a fully decentralized reward and …

[HTML][HTML] Shear Wave Velocity Estimation Based on Deep-Q Network

X Zhu, H Dong - Applied Sciences, 2022 - mdpi.com
Geoacoustic inversion is important for seabed geotechnical applications. It can be
formulated as a problem that seeks an optimal solution in a high-dimensional parameter …

Intelligent Energy Efficient Resource Allocation for URLLC Services in IoV Networks

RM Sohaib, O Onireti, Y Sambo… - 2022 IEEE 33rd …, 2022 - ieeexplore.ieee.org
Internet of vehicles (IoV) has been developed as a promising technology to improve road
safety. However, resource management can be challenging in a congested traffic …

Deep-Reinforcement-Learning-Based Resource Allocation for Energy Harvesting D2D Communication

Y Qi, S Geng - 2023 4th International Conference on Electronic …, 2023 - ieeexplore.ieee.org
In this paper, we studied the spectrum resource allocation for the D2D communication under
cellular networks. Based on the current situation that energy harvesting is rarely considered …