T
Tarek Khalifa
Researcher at Menoufia University
Publications - 27
Citations - 906
Tarek Khalifa is an academic researcher from Menoufia University. The author has contributed to research in topics: Smart grid & Transmission Control Protocol. The author has an hindex of 11, co-authored 27 publications receiving 741 citations. Previous affiliations of Tarek Khalifa include Qatar University & University of Waterloo.
Papers
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Journal ArticleDOI
A Survey of Communication Protocols for Automatic Meter Reading Applications
TL;DR: A comprehensive review of the AMR technologies proposed so far is provided and how future AMRs will benefit from third generation (3G) communication systems, the DLMS/COSEM standard and the SIP protocol are presented to provide an application level communication abstraction to achieve reliability and scalability.
Journal ArticleDOI
Fault Detection, Isolation, and Service Restoration in Distribution Systems: State-of-the-Art and Future Trends
Aboelsood Zidan,Mutaz Khairalla,Ahmed Abd-Rabou,Tarek Khalifa,Khaled Bashir Shaban,Atef Abdrabou,Ramadan El Shatshat,Ahmed Gaouda +7 more
TL;DR: The conceptual aspects, as well as recent developments in fault detection, isolation, and service restoration (FDIR) following an outage in an electric distribution system are surveyed.
Journal ArticleDOI
Machine-to-Machine (M2M) communications
Pawan Kumar Verma,Rajesh Verma,Arun Prakash,Ashish Agrawal,Kshirasagar Naik,Rajeev Tripathi,Maazen Alsabaan,Tarek Khalifa,Tamer Abdelkader,Abdulhakim Abogharaf +9 more
TL;DR: This paper presents a comprehensive review of M2M communication technology in terms of its system model architecture proposed by different standards developing organizations, mainly includes 3GPP, ETSI, and oneM2M.
Journal ArticleDOI
Optimization of Fuel Cost and Emissions Using V2V Communications
TL;DR: This paper proposes a comprehensive optimization model that involves V2V and TLS2V communications to minimize fuel consumption by and emissions from vehicles and proposes efficient heuristic expressions to compute the optimum or near-optimum value of SR.
Proceedings ArticleDOI
Vehicular networks for reduction of fuel consumption and CO 2 emission
TL;DR: The main goals of this paper are to motivate communications researchers to design EEFG protocols, demonstrate the ability to integrate fuel and emission models with vehicular networks, and illustrate the benefit of transmitting the traffic light signal information to vehicles for fuel consumption and emission reduction.