Computer Science Faculty Publications and Presentations

Optimal relay selection for UAV-assisted V2V communications

Document Type

Article

Publication Date

7-2021

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.

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Publication Title

Wireless Networks

DOI

10.1007/s11276-021-02644-9

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