Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Mohamed Hossam Ahmed"'
Autor:
Mohammad A. R. Abdeen, Mohamed Hossam Ahmed, Hafez Seliem, Tarek Rahil Sheltami, Turki M. Alghamdi, Mustafa El-Nainay
Publikováno v:
IEEE Access, Vol 10, Pp 42656-42672 (2022)
Smart ambulance is a novel system where modern communication, computation, and sensing technologies are employed to revolutionize ambulance and emergency systems. We propose a smart system that aims to minimize the ambulance response time, travel tim
Externí odkaz:
https://doaj.org/article/c58a8c5578994f0bbb5f87af565d5d27
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 2, Pp 1458-1472 (2021)
Data communication has seen exponential growth recently, and it currently dominates wireless communication. As a result, proactive caching was developed to minimize peak traffic rates by storing content, in advance, at different nodes in the network.
Externí odkaz:
https://doaj.org/article/dbf1a119e19849778dd214cc7f1e80cb
Packet Dropping Minimization in Energy Harvesting-Based Wireless Sensor Network With Linear Topology
Publikováno v:
IEEE Access, Vol 8, Pp 38682-38691 (2020)
In this paper, we optimize the performance of an energy harvesting wireless sensor network (EH-WSN) with linear physical topology. We present an optimization framework to minimize the summation of packet dropping probability subject to the data queue
Externí odkaz:
https://doaj.org/article/4ba8c82a8e954064baf7b20d29582eb2
Autor:
Khalid Abualsaud, Tarek M. Elfouly, Tamer Khattab, Elias Yaacoub, Loay Sabry Ismail, Mohamed Hossam Ahmed, Mohsen Guizani
Publikováno v:
IEEE Access, Vol 7, Pp 3855-3881 (2019)
Mobile crowd-sensing (MCS) is a new sensing paradigm that takes advantage of the extensive use of mobile phones that collect data efficiently and enable several significant applications. MCS paves the way to explore new monitoring applications in dif
Externí odkaz:
https://doaj.org/article/d97b92514bf84d4d88c02a7d70149723
Autor:
Reza Shahidi, Mohamed Hossam Ahmed
Publikováno v:
IEEE Access, Vol 6, Pp 1109-1125 (2018)
In several papers, analytical calculations of the mean value of the end-to-end delay in highway vehicular ad-hoc networks (VANETs) have been presented. Unfortunately, none of these papers presented calculations of the probability distribution of this
Externí odkaz:
https://doaj.org/article/5c1e2574ddd44876a316d534d706f865
Publikováno v:
IEEE Access, Vol 6, Pp 20125-20137 (2018)
Wireless communications between vehicles are a focus of research in both the academic research community and automobile industry. Using unmanned aerial vehicles or drones in wireless communications and vehicular ad hoc networks (VANETs) have started
Externí odkaz:
https://doaj.org/article/6db6c94b815843ffb7cbcd86a001570c
Publikováno v:
IEEE Access, Vol 5, Pp 7414-7422 (2017)
In this paper, we investigate the sequence estimation problem of binary and quadrature phase shift keying faster-than-Nyquist (FTN) signaling and propose two novel low-complexity sequence estimation techniques based on concepts of successive interfer
Externí odkaz:
https://doaj.org/article/ccaedf9cfd76420da17391baf4e34fa3
Publikováno v:
IEEE Access, Vol 5, Pp 14579-14588 (2017)
Faster-than-Nyquist (FTN) signaling is a promising non-orthogonal transmission technique to considerably improve the spectral efficiency. This paper presents the first attempt in the literature to estimate the transmit data symbols of any high-order
Externí odkaz:
https://doaj.org/article/584910b4e0144ae88ec14701ea4b173b
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2009 (2009)
Externí odkaz:
https://doaj.org/article/a44419235e4041f1b98879711ed4c4f7
Autor:
Mohammad A. R. Abdeen, Mohamed Hossam Ahmed, Hafez Seliem, Tarek Rahil Sheltami, Turki M. Alghamdi
Publikováno v:
IEEE Canadian Journal of Electrical and Computer Engineering. 45:436-441
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20f3d8ca2f88917a5a699523d00b61c7
https://doi.org/10.1109/icjece.2022.3220700
https://doi.org/10.1109/icjece.2022.3220700