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Najah AbuAli

Researcher at College of Information Technology

Publications -  41
Citations -  642

Najah AbuAli is an academic researcher from College of Information Technology. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 9, co-authored 37 publications receiving 444 citations. Previous affiliations of Najah AbuAli include Queen's University & United Arab Emirates University.

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Journal ArticleDOI

Uplink Scheduling in LTE and LTE-Advanced: Tutorial, Survey and Evaluation Framework

TL;DR: This paper offers a tutorial on scheduling in LTE and its successor LTE-Advanced, surveys representative schemes in the literature that have addressed the scheduling problem, and offers an evaluation methodology to be used as a basis for comparison between scheduling proposals in the Literature.
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Nano-Communication for Biomedical Applications: A Review on the State-of-the-Art From Physical Layers to Novel Networking Concepts

TL;DR: The state of the art in this field of nano-communication-based devices is presented to provide a comprehensive understanding of current models, considering various communication paradigms, antenna design issues, radio channel models based on numerical and experimental analysis and network, and system models for such networks.
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Driver Behavior Modeling: Developments and Future Directions

TL;DR: An overview of advances of in-vehicle and smartphone sensing capabilities and communication and recent applications and services of DBM is provided and research challenges and key future directions are emphasized.
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Route Planning Considerations for Autonomous Vehicles

TL;DR: It is argued in this work that current route planning approaches are not readily applicable to AVs and their emerging requirements and the inevitable elements and considerations for routing AVs in a mixed-traffic environment are described.
Proceedings ArticleDOI

Experimental evaluation of a Routing Protocol for WSNs: RPL robustness under study

TL;DR: Experimental results on the Routing Protocol for Low-Power and Lossy Networks (RPL) are presented and it is highlighted that this ability to maintain the routing process despite such events can be reduced if only few critical nodes fail.