Relay-node Selection Method Based on Weighted Strategy for 3D Scenario in Internet of Vehicles

Dun Cao Dun Cao, Jiawen Liu Dun Cao, Qinghua Liu Jiawen Liu, Jin Wang Qinghua Liu, Min Zhu Jin Wang
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Abstract

In recent years, Internet of Vehicles (IoV), as a supporting technology for Intelligent Transportation System (ITS), is flourishing with the emergence and development of new technologies such as edge computing, 5G communication, and Artificial Intelligence (AI). However, the more complexity of wireless channels and vehicle distribution in 3D scenario brings a great challenge for relay-node selection in ITS. In this paper, we focus on how to alleviate the problem that the decline of two-hop distance and two-hop connection probability caused by the relative fading of inter-layer communication radius in 3D scenario with Vehicle-to-Vehicle (V2V) communication. To face this challenge, we develop a Relay-node Selection method based on Weighted Strategy for Overpass scenario (RSWSO). The simulation results show that RSWSO achieves improvement in two-hop distance, and an increase of up to 11.2% in terms of two-hop connection probability.  
基于加权策略的车联网 3D 场景中继节点选择方法
近年来,随着边缘计算、5G 通信、人工智能等新技术的出现和发展,作为智能交通系统(ITS)支撑技术的车联网(IoV)正蓬勃发展。然而,三维场景下无线信道和车辆分布的复杂性给智能交通系统中的中继节点选择带来了巨大挑战。本文主要研究如何缓解三维场景下车对车(V2V)通信中,层间通信半径相对衰减导致的两跳距离和两跳连接概率下降的问题。面对这一挑战,我们开发了一种基于过路场景加权策略的中继节点选择方法(RSWSO)。仿真结果表明,RSWSO 改善了两跳距离,并将两跳连接概率提高了 11.2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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