4.8 Article

Multihop V2U Path Availability Analysis in UAV-Assisted Vehicular Networks

Journal

IEEE INTERNET OF THINGS JOURNAL
Volume 8, Issue 13, Pages 10745-10754

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2020.3049018

Keywords

Wireless communication; Navigation; Wireless sensor networks; Land vehicles; Routing; Roads; Delays; Connectivity; modeling; path availability; performance analysis; unmanned aerial vehicles (UAVs); vehicle to UAV (V2U); vehicular networks

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This article aims at improving ground vehicle connectivity by investigating intermittent vehicle-to-UAV communication scenarios, exploring the formation of vehicular clusters and intervehicular communication feasibility. A mathematical model is presented to capture nodal mobility dynamics, and extensive simulations validate the proposed model's effectiveness and accuracy in understanding connectivity sensitivity to fundamental system parameters.
The work presented in this article aims at improving the ground vehicle connectivity in the context of an intermittent vehicle-to-UAV (V2U) communication scenario where vehicles opportunistically establish time-limited connectivity with passing by unmanned aerial vehicles (UAVs) serving as flying base stations responsible for routing incoming vehicle data over backbone networks and/or the Internet. As opposed to existing work in the literature where vehicles are only allowed to establish direct connectivity with in-range UAVs, this work aims at also exploiting the possible formation of vehicular clusters and, hence, the feasibility of intervehicular communications to establish multihop paths connecting source vehicles to destination UAVs. A mathematical model is presented for the purpose of capturing the nodal (i.e., vehicles and UAVs) mobility dynamics and derive an expression for the overall V2U connectivity probability as well as the overall average vehicle connection time. Extensive simulations are conducted in order to adduce the validity and accuracy of the proposed model and provide further insights into the connectivity sensibility to fundamental system parameters.

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