Joint secure offloading and resource allocation for vehicular edge computing network: A multi-agent deep reinforcement learning approach
The mobile edge computing (MEC) technology can simultaneously provide high-speed
computing services for multiple vehicular users (VUs) in vehicular edge computing (VEC) …
computing services for multiple vehicular users (VUs) in vehicular edge computing (VEC) …
Vehicle to everything in the power grid (V2eG): A review on the participation of electric vehicles in power grid economic dispatch
The increasing popularity of electric vehicles (EVs) and the enhanced energy storage
capability of batteries have made EVs adjustable resources in economic dispatching for …
capability of batteries have made EVs adjustable resources in economic dispatching for …
Multi-agent DRL-based Hungarian algorithm (MADRLHA) for task offloading in multi-access edge computing Internet of Vehicles (IoVs)
MZ Alam, A Jamalipour - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
This paper investigates the computation offloading problem in a high mobility internet of
vehicles (IoVs) environment, aiming to guarantee latency, energy consumption, and …
vehicles (IoVs) environment, aiming to guarantee latency, energy consumption, and …
5G and IoT based reporting and accident detection (RAD) system to deliver first aid box using unmanned aerial vehicle
Internet of Things (IoT) and 5G are enabling intelligent transportation systems (ITSs). ITSs
promise to improve road safety in smart cities. Therefore, ITSs are gaining earnest devotion …
promise to improve road safety in smart cities. Therefore, ITSs are gaining earnest devotion …
Joint service caching and computation offloading scheme based on deep reinforcement learning in vehicular edge computing systems
Vehicular edge computing (VEC) is a new computing paradigm that enhances vehicular
performance by introducing both computation offloading and service caching, to resource …
performance by introducing both computation offloading and service caching, to resource …
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories
Mobile Edge Computing (MEC) broadens the scope of computation and storage beyond the
central network, incorporating edge nodes close to end devices. This expansion facilitates …
central network, incorporating edge nodes close to end devices. This expansion facilitates …
A deep reinforcement learning based computation offloading with mobile vehicles in vehicular edge computing
Vehicular edge networks involve edge servers that are close to mobile devices to provide
extra computation resource to complete the computation tasks of mobile devices with low …
extra computation resource to complete the computation tasks of mobile devices with low …
Joint computation offloading and data caching in multi-access edge computing enabled internet of vehicles
Internet of Vehicles (IoV) has attracted global research interests across extensive
applications. Due to the significant increase in the number of vehicles accessing the Internet …
applications. Due to the significant increase in the number of vehicles accessing the Internet …
Vetaverse: A survey on the intersection of Metaverse, vehicles, and transportation systems
Since 2021, the term" Metaverse" has been the most popular one, garnering a lot of interest.
Because of its contained environment and built-in computing and networking capabilities, a …
Because of its contained environment and built-in computing and networking capabilities, a …
Privacy-aware multiagent deep reinforcement learning for task offloading in vanet
Offloading task to roadside units (RSUs) provides a promising solution for enhancing the
real-time data processing capacity and reducing energy consumption of vehicles in the …
real-time data processing capacity and reducing energy consumption of vehicles in the …