@inproceedings{1219d92bde3846cea1b7ae9bf494cea6,
title = "Trajectory-based data Forwarding with future Neighbor Prediction in autonomous driving vehicular environments",
abstract = "In VANETs, vehicle-to-vehicle communication is a challenge due to the fast topology changing, frequent disconnections, and highly variable traffic densities. This paper describes a Trajectory-based data Forwarding scheme with future Neighbor Prediction (TFNP) in autonomous driving vehicular environments. The most important characteristic of the environments is that the prediction for future position of vehicles could be sufficiently accurate. With the trajectory information of all autonomous vehicles, the future neighbors of each vehicle can be properly identified. The packet forwarding ability of the future neighbors is evaluated and forwarding sequences are thus constructed. When an autonomous vehicle needs to send data, it will transmit packets based on the constructed forwarding path. The simulation results demonstrate the effectiveness and efficiency of the developed scheme in the autonomous driving vehicular environments.",
author = "Chang, {Chi En} and Lin, {Yu Yuan} and Ssu, {Kuo Feng}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 40th Annual IEEE Conference on Local Computer Networks, LCN 2015 ; Conference date: 26-10-2015 Through 29-10-2015",
year = "2015",
month = dec,
day = "24",
doi = "10.1109/LCNW.2015.7365942",
language = "English",
series = "Proceedings - Conference on Local Computer Networks, LCN",
publisher = "IEEE Computer Society",
pages = "884--892",
editor = "Salil Kanhere and Soumaya Cherkaoui and Jens Tolle",
booktitle = "Proceedings of the 40th Annual IEEE Conference on Local Computer Networks, LCN 2015",
address = "United States",
}