3 papers
cs.NI2024
LSTM-Based Proactive Congestion Management for Internet of Vehicle Networks
Aly Sabri Abdalla, Ahmad Al-Kabbany, Ehab F. Badran +1
Vehicle-to-everything (V2X) networks support a variety of safety, entertainment, and commercial applications. This is realized by applying the principles of the Internet of Vehicle…
cs.NI2019
Maximizing Clearance Rate by Penalizing Redundant Task Assignment in Mobile Crowdsensing Auctions
Maggie E. Gendy, Ahmad Al-Kabbany, Ehab F. Badran
This research is concerned with the effectiveness of auctions-based task assignment and management in centralized, participatory Mobile Crowdsensing (MCS) systems. During auctions,…
cs.NI2018
Maximizing Clearance Rate of Reputation-aware Auctions in Mobile Crowdsensing
Maggie E. Gendy, Ahmad Al-Kabbany, Ehab F. Badran
Auctions have been employed as an effective framework for the management and the assignment of tasks in mobile crowdsensing (MCS). In auctions terminology, the clearance rate (CR)…