E-LIB Suche - Ergebnisse für: Rivano, Hervé

1

How does Wi-Fi 6 fare? An industrial outdoor robotic scenar..:

Rady, Mina ; Iova, Oana ; Rivano, Hervé..
Ad Hoc Networks. 156 (2024) - p. 103418 , 2024

2

Cooperative Deep Reinforcement Learning for Dynamic Polluti..:

Assenine, Mohamed Sami ; Bechkit, Walid ; Mokhtari, Ichrak..
IEEE Internet of Things Journal. 11 (2024) 5 - p. 7325-7338 , 2024

Link: https://doi.org/10.1109/..

3

Route Selection in Low-Cost Participatory Mobile Sensing of..:

, In: 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC),

Fekih, Mohamed Anis ; Bechkit, Walid ; Rivano, Herve - p. 302-310 , 2024

Link: https://doi.org/10.1109/..

4

FTM-Broadcast: Efficient Network-wide Ranging:

, In: 2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN),

Busnel, Yann ; Rivano, Herve - p. 1-6 , 2023

Link: https://doi.org/10.1109/..

5

Network Size Estimation for LoRa-Based Direct-to-Satellite ..:

, In: 2023 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW),

Maldonado, Diego ; Fraire, Juan A. ; Ilabaca, Pablo.. - p. 1-6 , 2023

Link: https://doi.org/10.1109/..

6

FAM: A frame aggregation based method to infer the load lev..:

Bouzouita, Nour El Houda ; Busson, Anthony ; Rivano, Herve
Computer Communications. 191 (2022) - p. 36-52 , 2022

Link: https://doi.org/10.1016/..

7

Comparison of User Presence Information from Mobile Phone a..:

, In: Proceedings of the 25th International ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems,

Rabenjamina, Solohaja ; Stanica, Razvan ; Iova, Oana. - p. 223-231 , 2022

Link: https://dl.acm.org/doi/1..

8

Inference of Wi-Fi busy time fraction based on Markov chain:

Bouzouita, Nour El Houda ; Busson, Anthony ; Rivano, Herve
Ad Hoc Networks. 136 (2022) - p. 102963 , 2022

Link: https://doi.org/10.1016/..

9

Implicit GPS-based bicycle route choice model using cluster..:

Magnana, Lucas ; Rivano, Herve ; Chiabaut, Nicolas.
PLOS ONE. 17 (2022) 3 - p. e0264196 , 2022

Link: https://doi.org/10.1371/..

10

Uncertainty-Aware Deep Learning Architectures for Highly Dy..:

Mokhtari, Ichrak ; Bechkit, Walid ; Rivano, Herve.
IEEE Access. 9 (2021) - p. 14765-14778 , 2021

Link: https://doi.org/10.1109/..

11

Exploiting Frame Aggregation to Enhance Access Point Select..:

, In: Proceedings of the 18th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks,

Bouzouita, Nour El Houda ; Busson, Anthony ; Rivano, Herve - p. 103-110 , 2021

Link: https://dl.acm.org/doi/1..

12

Challenges of Designing Smart Lighting:

, In: Proceedings of the 2020 International Conference on Embedded Wireless Systems and Networks on Proceedings of the 2020 International Conference on Embedded Wireless Systems and Networks,

Dahan, Manoël ; Mbacké, Abdoul Aziz ; Iova, Oana. - p. 253-258 , 2020

Link: https://dl.acm.org/doi/1..

13

Analytical study of frame aggregation level to infer IEEE 8..:

, In: 2020 International Wireless Communications and Mobile Computing (IWCMC),

Bouzouita, Nour El Houda ; Busson, Anthony ; Rivano, Herve - p. 952-957 , 2020

Link: https://doi.org/10.1109/..

14

On the Regression and Assimilation for Air Quality Mapping ..:

, In: Advanced Information Networking and Applications; Advances in Intelligent Systems and Computing,

Fekih, Mohamed Anis ; Mokhtari, Ichrak ; Bechkit, Walid.. - p. 566-578 , 2020

Link: https://doi.org/10.1007/..

15

Demo: In-flight Localisation of Micro-UAVs using Ultra-Wide..:

, In: Proceedings of the 2020 International Conference on Embedded Wireless Systems and Networks on Proceedings of the 2020 International Conference on Embedded Wireless Systems and Networks,

D'Alu, Stéphane ; Iova, Oana ; Simonin, Olivier. - p. 186-188 , 2020

Link: https://dl.acm.org/doi/1..