A survey on computation offloading in edge systems: From the perspective of deep reinforcement learning approaches
Driven by the demand of time-sensitive and data-intensive applications, edge computing
has attracted wide attention as one of the cornerstones of modern service architectures. An …
has attracted wide attention as one of the cornerstones of modern service architectures. An …
A hybrid approach for latency and battery lifetime optimization in IoT devices through offloading and CNN learning
Offloading assists in overcoming the resource constraints of specific elements, making it one
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …
NOMA-assisted secure offloading for vehicular edge computing networks with asynchronous deep reinforcement learning
Mobile edge computing (MEC) offers promising solutions for various delay-sensitive
vehicular applications by providing high-speed computing services for a large number of …
vehicular applications by providing high-speed computing services for a large number of …
Reconfigurable intelligent surface aided vehicular edge computing: Joint phase-shift optimization and multi-user power allocation
Vehicular edge computing (VEC) is an emerging technology with significant potential in the
field of Internet of Vehicles (IoV), enabling vehicles to perform intensive computational tasks …
field of Internet of Vehicles (IoV), enabling vehicles to perform intensive computational tasks …
EPtask: Deep reinforcement learning based energy-efficient and priority-aware task scheduling for dynamic vehicular edge computing
The increasing complexity of vehicles has led to a growing demand for in-vehicle services
that rely on multiple sensors. In the Vehicular Edge Computing (VEC) paradigm, energy …
that rely on multiple sensors. In the Vehicular Edge Computing (VEC) paradigm, energy …
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 …
A V2V emergent message dissemination scheme for 6G-oriented vehicular networks
To ensure traffic safety and improve traffic efficiency, vehicular networks come up with
multiple types of messages for safety and efficiency applications. In sixth-generation (6G) …
multiple types of messages for safety and efficiency applications. In sixth-generation (6G) …
Efficient distance and connectivity based traffic density stable routing protocol for vehicular Ad Hoc networks
Vehicle ad-hoc networks (VANETs) have become a prominent research topic in recent years
due to rapid dynamic topology, high vehicle mobility, frequent link failures and significant …
due to rapid dynamic topology, high vehicle mobility, frequent link failures and significant …
Deep deterministic policy gradient-based algorithm for computation offloading in iov
The continuous evolution of cellular networks has resulted in the rapid increase in both
mobile applications and devices in the Internet of Vehicles. The introduction of the multi …
mobile applications and devices in the Internet of Vehicles. The introduction of the multi …
Stochastic modeling for intelligent software-defined vehicular networks: A survey
Digital twins and the Internet of Things (IoT) have gained significant research attention in
recent years due to their potential advantages in various domains, and vehicular ad hoc …
recent years due to their potential advantages in various domains, and vehicular ad hoc …