A survey on infrastructure‐based vehicular networks
The infrastructure of vehicular networks plays a major role in realizing the full potential of
vehicular communications. More and more vehicles are connected to the Internet and to …
vehicular communications. More and more vehicles are connected to the Internet and to …
[HTML][HTML] Broadening understanding on managing the communication infrastructure in vehicular networks: Customizing the coverage using the delta network
Over the past few decades, the growth of the urban population has been remarkable.
Nowadays, 50% of the population lives in urban areas, and forecasts point that by 2050 this …
Nowadays, 50% of the population lives in urban areas, and forecasts point that by 2050 this …
Application of trajectory data for investigating vehicle behavior in mixed traffic environment
The research work reported here investigates driving behavior under mixed traffic conditions
on high-speed, multilane highways. With the involvement of multiple vehicle classes, high …
on high-speed, multilane highways. With the involvement of multiple vehicle classes, high …
Designing mobile content delivery networks for the Internet of vehicles
Content delivery is a key functionality for developing the Internet of Vehicles. In such
networks, vehicles act as sensors of the urban mobility by constantly exchanging messages …
networks, vehicles act as sensors of the urban mobility by constantly exchanging messages …
Non-intrusive planning the roadside infrastructure for vehicular networks
In this article, we describe a strategy for planning the roadside infrastructure for vehicular
networks based on the global behavior of drivers. Instead of relying on the trajectories of all …
networks based on the global behavior of drivers. Instead of relying on the trajectories of all …
基于车辆行为分析的智能车联网关键技术研究
张海霞， 李腆腆， 李东阳， 刘文杰 - 电子与信息学报, 2020 - jeit.ac.cn
车联网通信系统中通信节点的高移动性, 移动行为的复杂性, 使得此场景下通信业务呈现数据
实时交互性强, 空时分布不均, 尺度多变, 规律复杂的特征, 导致传统的车联网网络部署 …
实时交互性强, 空时分布不均, 尺度多变, 规律复杂的特征, 导致传统的车联网网络部署 …
An Efficient CNN Inference Accelerator Based on Intra-and Inter-Channel Feature Map Compression
C Xie, Z Shao, N Zhao, Y Du… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Deep convolutional neural networks (CNNs) generate intensive inter-layer data during
inference, which results in substantial on-chip memory size and off-chip bandwidth. To solve …
inference, which results in substantial on-chip memory size and off-chip bandwidth. To solve …
A genetic algorithm for deploying roadside units in vanets
JFM Sarubbi, FVC Martins… - 2016 IEEE congress on …, 2016 - ieeexplore.ieee.org
In this work we propose a genetic algorithm, Delta-GA, for solving the allocation of Roadside
Units (RSUs) in a Vehicular Network. Our goal is to find the minimum set of RSUs in order to …
Units (RSUs) in a Vehicular Network. Our goal is to find the minimum set of RSUs in order to …
Delta-r: A novel and more economic strategy for allocating the roadside infrastructure in vehicular networks with guaranteed levels of performance
JFM Sarubbi, CM Silva - NOMS 2016-2016 IEEE/IFIP Network …, 2016 - ieeexplore.ieee.org
In this work we propose Delta-r, a new greedy heuristic for solving the allocation of roadside
units in order to meet a Δ ρ2 ρ1-Deployment. The Δ ρ2 ρ1-Deployment is a metric for …
units in order to meet a Δ ρ2 ρ1-Deployment. The Δ ρ2 ρ1-Deployment is a metric for …
Gamma deployment: designing the communication infrastructure in vehicular networks assuring guarantees on the V2I inter-contact time
Gamma Deployment is a metric for evaluating the distribution of roadside units in vehicular
networks in terms of two parameters: a) the inter-contact time between vehicles and the …
networks in terms of two parameters: a) the inter-contact time between vehicles and the …