Lila Boukhatem

TL;DR: This paper mathematically formulate the routing selection issue as a constrained optimization problem and proposes an ant colony optimization (ACO)-based algorithm to solve this problem, and a terminal intersection (TI) concept is presented to decrease routing exploration time and alleviate network congestion.

TL;DR: The article analyzes the achievable benefits in relation to specific interference management techniques, including a discussion on practical considerations such as information exchange requirements, REM ownership, and security aspects.

TL;DR: This paper proposes an intelligent V2V charging navigation strategy for a large number of mobile EVs by means of a hybrid vehicular ad-hoc networks based communication paradigm and proposes an effective local charging navigation scheme to adaptively select the optimal traveling route and appropriate stopping locations for mobile EVs via the designed Q-learning based algorithm.

TL;DR: Simulation results validate the derived road segment connectivity and transmission delay models, and show the effectiveness of IRQV compared with two geographical routing protocols in terms of delay, packet delivery ratio and overhead.

TL;DR: This paper designs a VANETs-based (Vehicular Ad-Hoc Networks) communication framework to enable data transmissions between the parking service center (PSC) and mobile EVs in a real-time manner and proposes a globally optimal V2V charging scheme on the basis of the deduced models of travel energy cost and charging pleasure degree.