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Wireless Networks
Erschienen in: Wireless Networks 5/2021

21.05.2021 | Original Paper

Optimal relay selection for UAV-assisted V2V communications

verfasst von: Xiying Fan, Di Liu, Bin Fu, Shaojie Wen

Erschienen in: Wireless Networks | Ausgabe 5/2021

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Abstract

In Internet of Vehicles (IoV), frequent link switching and channel interference will increase transmission delay and decrease network throughput. Unmanned Aerial Vehicles (UAVs) can avoid shadowing effect and provide line-of-sight communication to enhance IoV performance, which can help reduce communication handovers. This study introduces UAVs to assist ground vehicular network for collaborative communication and focuses on relay selection to achieve effective data dissemination. The relay selection problem is formulated as a multi-objective optimization problem related to link transmission rate, communication handovers, and node transmit power. To solve the problem, we propose an interference-aware relay selection mechanism, which is a distributed strategy to make decisions at the sender. The mechanism applies the dual decomposition method to decompose the problem into two convex optimization subproblems. The first subproblem jointly optimizes communication handovers and link transmission rate while the second subproblem optimizes node transmit power under the premise of ensuring link reliability. Simulations verify the effectiveness of the proposed relay selection mechanism in terms of data delivery ratio, average end-to-end delay and network throughput.
Vorheriger Artikel Routing constraints in the device-to-device communication for beyond IoT 5G networks: a review
Nächster Artikel Optimal resource utilization for intra-cluster D2D retransmission and cooperative communications in VANETs

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Metadaten
Titel
Optimal relay selection for UAV-assisted V2V communications
verfasst von
Xiying Fan
Di Liu
Bin Fu
Shaojie Wen
Publikationsdatum
21.05.2021
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 5/2021
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-021-02644-9

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