Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Ouadoudi, Zytoune"'
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 12, Iss 1, p 16 (2023)
Device-to-device (D2D) communication will play a meaningful role in future wireless networks and standards, since it ensures ultra-low latency for communication among near devices. D2D transmissions can take place together with the actual cellular co
Externí odkaz:
https://doaj.org/article/4fba46cdbd6c45b797defcefd144dabb
Publikováno v:
Journal of Communications Software and Systems, Vol 15, Iss 1, Pp 9-17 (2019)
Wireless Sensor Networks (WSNs) consist of a large number of small interconnected devices. The aim of such networks is the monitoring of some types of area. This work is done by collaboration between these devices. All of them must sense and send inf
Externí odkaz:
https://doaj.org/article/30c77b9af9b9403e95a2d50bf2961d5b
Autor:
Adil Boumaalif, Ouadoudi Zytoune
Publikováno v:
IEEE Transactions on Mobile Computing. 21:2158-2167
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5c7bee782b3b7f8d672c1c864cd6544
https://doi.org/10.1109/tmc.2020.3035543
https://doi.org/10.1109/tmc.2020.3035543
Device-to-device (D2D) communication has been recognized as one of the promising paradigms for supporting the next generation of cellular networks, it brings several benefits in terms of reducing time delay for communication, and providing better spe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b12809557d5c2e68008df9564f847943
https://doi.org/10.21203/rs.3.rs-2697715/v1
https://doi.org/10.21203/rs.3.rs-2697715/v1
Publikováno v:
International Journal of Communication Networks and Information Security (IJCNIS). 12
To date, battery optimization for embedded systems still a crucial subject. Actually, the majority of carried out works focus on transmission controls without taking into account the specifications of the batteries themselves. Indeed, an improvemento
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36c7f18a66150d3195c7cbd968348ae1
https://doi.org/10.17762/ijcnis.v12i3.4774
https://doi.org/10.17762/ijcnis.v12i3.4774
Autor:
Adil Boumaalif, Ouadoudi Zytoune
Publikováno v:
E3S Web of Conferences, Vol 336, p 00066 (2022)
Among the challenges in VANETs networks there is power control, which permits to achieve better permformance in terms of Signal to Interference plus Noise Ratio (SINR), Energy Efficiency (EE), Energy Utilization (EU),... Another important point to ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::915f9252390f1979e3d49e75993029e2
https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/03/e3sconf_icegc2022_00066.pdf
https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/03/e3sconf_icegc2022_00066.pdf
Publikováno v:
Wireless Personal Communications. 110:1929-1946
In this paper, we consider a point-to-point wireless communications for embedded battery powered systems. We aim to provide an optimal use of all the usable capacity inside the battery before it becomes exhausted. For this purpose, we exploit the rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef2cbb29dd65b50b78ad14d31e25e4df
https://doi.org/10.1007/s11277-019-06820-1
https://doi.org/10.1007/s11277-019-06820-1
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 6, Iss 4, p 22 (2017)
In wireless sensor networks, building energy-efficient systems is one of the major challenges. In such networks, nodes are usually supplied by low power and small batteries. Many factors are involved in the energy consumption, and this issue may be c
Externí odkaz:
https://doaj.org/article/2a4b872eae744bf089984b1366b755b1
Publikováno v:
Machine Learning for Networking ISBN: 9783030457778
MLN
Machine Learning for Networking. MLN 2019. Lecture Notes in Computer Science, vol 12081. Springer, Cham
International Conference on Machine Learning for Networking (MLN)
International Conference on Machine Learning for Networking (MLN), 2019, Paris, France. pp.355-366, ⟨10.1007/978-3-030-45778-5_24⟩
MLN
Machine Learning for Networking. MLN 2019. Lecture Notes in Computer Science, vol 12081. Springer, Cham
International Conference on Machine Learning for Networking (MLN)
International Conference on Machine Learning for Networking (MLN), 2019, Paris, France. pp.355-366, ⟨10.1007/978-3-030-45778-5_24⟩
In many urban areas where road drivers are suffering from the huge road traffic flow, conventional traffic management methods have become inefficient. One alternative is to let road-side units or vehicles learn how to calculate the optimal path based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83e325eb3bf40b7b51f0432e542a312f
https://doi.org/10.1007/978-3-030-45778-5_24
https://doi.org/10.1007/978-3-030-45778-5_24
Publikováno v:
Ad Hoc Networks. 124:102706
Most IoT devices are battery powered and have limited power supplies. To ensure communication between two nodes, multi-hop transmissions over relays could be used. However, this communication cannot be achieved if the Signal-to-Noise Ratio (SNR) at t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::541a83f460e83ce4fb52dd08f123e646
https://doi.org/10.1016/j.adhoc.2021.102706
https://doi.org/10.1016/j.adhoc.2021.102706