Vessel trajectory prediction in maritime transportation: Current approaches and beyond
The growing availability of maritime IoT traffic data and continuous expansion of the
maritime traffic volume, serving as the driving fuel, propel the latest Artificial Intelligence (AI) …
maritime traffic volume, serving as the driving fuel, propel the latest Artificial Intelligence (AI) …
Geographical POI recommendation for Internet of Things: A federated learning approach using matrix factorization
J Huang, Z Tong, Z Feng - International Journal of …, 2022 - Wiley Online Library
With the popularity of Internet of Things (IoT), Point‐of‐Interest (POI) recommendation has
become an important application for location‐based services (LBS). Meanwhile, there is an …
become an important application for location‐based services (LBS). Meanwhile, there is an …
MAP based modeling method and performance study of a task offloading scheme with time-correlated traffic and VM repair in MEC systems
Y Wang, X Han, S Jin - Wireless Networks, 2023 - Springer
Abstract Mobile Edge Computing (MEC) has evolved into a key technology that can
leverage resources of computing, storage and network deployed at the proximity of the …
leverage resources of computing, storage and network deployed at the proximity of the …
Dynamic task offloading for internet of things in mobile edge computing via deep reinforcement learning
Y Chen, W Gu, K Li - International Journal of Communication …, 2022 - Wiley Online Library
With the development of Internet of Things (IoT), more and more computation‐intensive
tasks are generated by IoT devices. Due to the limitation of battery and computing capacity …
tasks are generated by IoT devices. Due to the limitation of battery and computing capacity …
[HTML][HTML] Development and application of equilibrium optimizer for optimal power flow calculation of power system
This paper proposes an enhanced version of Equilibrium Optimizer (EO) called (EEO) for
solving global optimization and the optimal power flow (OPF) problems. The proposed EEO …
solving global optimization and the optimal power flow (OPF) problems. The proposed EEO …
Resource management in UAV-assisted MEC: state-of-the-art and open challenges
Unmanned aerial vehicles (UAV) have been widely used in various fields because of their
high mobility and portability. At the same time, due to the rapid development of artificial …
high mobility and portability. At the same time, due to the rapid development of artificial …
[HTML][HTML] A blockchain-based trustworthy collaborative power trading scheme for 5G-enabled social internet of vehicles
Abstract Social Internet of Vehicles (SIoV) falls under the umbrella of social Internet of
Things (IoT), where vehicles are socially connected to other vehicles and roadside units that …
Things (IoT), where vehicles are socially connected to other vehicles and roadside units that …
TGRV: A trust-based geographic routing protocol for VANETs
S Shokrollahi, M Dehghan - Ad Hoc Networks, 2023 - Elsevier
Vehicular ad-hoc networks (VANETs) consist of highly mobile and self-organized nodes that
wirelessly communicate with one another and transmit a variety of information, some of …
wirelessly communicate with one another and transmit a variety of information, some of …
[HTML][HTML] Enhancing the robustness of object detection via 6G vehicular edge computing
Academic and industrial communities have been paying significant attention to the 6th
Generation (6G) wireless communication systems after the commercial deployment of 5G …
Generation (6G) wireless communication systems after the commercial deployment of 5G …
A multi-tier trust-based security mechanism for vehicular ad-hoc network communications
Securing communications in vehicle ad hoc networks is crucial for operations. Messages
exchanged in vehicle ad hoc network communications hold critical information such as road …
exchanged in vehicle ad hoc network communications hold critical information such as road …