Mobility-aware proactive edge caching for connected vehicles using federated learning
Content Caching at the edge of vehicular networks has been considered as a promising
technology to satisfy the increasing demands of computation-intensive and latency-sensitive …
technology to satisfy the increasing demands of computation-intensive and latency-sensitive …
Mobility-aware cooperative caching in vehicular edge computing based on asynchronous federated and deep reinforcement learning
Vehicular edge computing (VEC) can learn and cache most popular contents for vehicular
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …
Vehicle selection and resource optimization for federated learning in vehicular edge computing
As a distributed deep learning paradigm, federated learning (FL) provides a powerful tool for
the accurate and efficient processing of on-board data in vehicular edge computing (VEC) …
the accurate and efficient processing of on-board data in vehicular edge computing (VEC) …
Proactive content caching for internet-of-vehicles based on peer-to-peer federated learning
To cope with the increasing content requests from emerging vehicular applications, caching
contents at edge nodes is imperative to reduce service latency and network traffic on the …
contents at edge nodes is imperative to reduce service latency and network traffic on the …
Toward energy-aware caching for intelligent connected vehicles
With the widespread application of infotainment services in intelligent connected vehicles
(ICVs), network traffic has grown exponentially, bringing huge burden and energy …
(ICVs), network traffic has grown exponentially, bringing huge burden and energy …
High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks
Federated edge learning (FEEL) technology for vehicular networks is considered as a
promising technology to reduce the computation workload while keeping the privacy of …
promising technology to reduce the computation workload while keeping the privacy of …
Joint optimization of security strength and resource allocation for computation offloading in vehicular edge computing
Vehicular Edge Computing (VEC) is a promising new paradigm that has attracted much
attention in recent years, which can enhance the storage and computing capabilities of …
attention in recent years, which can enhance the storage and computing capabilities of …
Predictive proactive caching in vanets for social networking
SA Elsayed, S Abdelhamid… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Social media traffic constitutes the highest percentage of Internet traffic. Such traffic is largely
facilitated by mobile devices, which imposes a huge traffic load on backhaul links in 5G …
facilitated by mobile devices, which imposes a huge traffic load on backhaul links in 5G …
[HTML][HTML] Joint cooperative caching and power control for UAV-assisted internet of vehicles
W Wang, Y Liu, Y Dai, Y He - Scientific Reports, 2024 - nature.com
In view of the current problems of spectrum resource scarcity, return congestion, and
insufficient energy utilization in the unmanned aerial vehicle (UAV)-assisted Internet of …
insufficient energy utilization in the unmanned aerial vehicle (UAV)-assisted Internet of …
Two-layer distributed content caching for infotainment applications in vanets
For vehicular ad hoc networks (VANETs), edge caching has attracted considerable research
attention to maximize the efficiency and reliability of infotainment applications. In this article …
attention to maximize the efficiency and reliability of infotainment applications. In this article …