Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

The Trap Coverage Area Protocol for Scalable Vehicular Target Tracking

Autor: Paolo Bellavista, Azzedine Boukerche, Tommaso Campanella, Luca Foschini

Publikováno v: IEEE Access, Vol 5, Pp 4470-4491 (2017)

Vehicle target tracking is a sub-field of increasing and increasing interest in the vehicular networking research area, in particular for its potential application in dense urban areas with low associated costs, e.g., by exploiting existing monitorin

Externí odkaz: https://doaj.org/article/061ca949af624b8ea48750469884750f

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Deep Reinforcement Learning Applied to Computation Offloading of Vehicular Applications:A Comparison

Autor: Mieszko Ferens, Diego Hortelano, Ignacio de Miguel, Ramon J. Duran Barroso, Juan Carlos Aguado, Lidia Ruiz, Noemi Merayo, Patricia Fernandez, Ruben M. Lorenzo, Evaristo J. Abril

Publikováno v: Ferens, M, Hortelano, D, De Miguel, I, Durán Barroso, R J, Aguado, J C, Ruiz, L, Merayo, N, Fernández, P, Lorenzo, R M & Abril, E J 2022, Deep Reinforcement Learning Applied to Computation Offloading of Vehicular Applications : A Comparison . in 2022 International Balkan Conference on Communications and Networking, BalkanCom 2022 . IEEE, pp. 31-35, 2022 International Balkan Conference on Communications and Networking, BalkanCom 2022, Sarajevo, Bosnia and Herzegovina, 22/08/2022 . https://doi.org/10.1109/BalkanCom55633.2022.9900545

An observable trend in recent years is the increasing demand for more complex services designed to be used with portable or automotive embedded devices. The problem is that these devices may lack the computational resources necessary to comply with s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bb4d4d9d90269c3ea7ceed6cc1633eb
https://vbn.aau.dk/da/publications/20d7787d-54d5-4daf-99b0-f53efd32906f

Software-Defined Heterogeneous Vehicular Networking: The Architectural Design and Open Challenges

Autor: Adnan Mahmood, Wei Emma Zhang, Quan Z. Sheng

Publikováno v: Future Internet, Vol 11, Iss 3, p 70 (2019)

The promising advancements in the telecommunications and automotive sectors over the years have empowered drivers with highly innovative communication and sensing capabilities, in turn paving the way for the next-generation connected and autonomous v

Externí odkaz: https://doaj.org/article/6bf4b130b2d14086b2d102fc8afcc99c