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1. 武汉大学计算机学院,湖北 武汉 430072
2. 工业和信息化部计算机与微电子发展研究中心(中国软件评测中心),北京 100081
[ "范茜莹(1990– ),女,河南驻马店人,武汉大学博士生,主要研究方向为无线网络、算法设计与分析、车联网等。" ]
[ "黄传河(1963– ),男,湖北随州人,博士,武汉大学教授、博士生导师,主要研究方向为计算机网络(移动互联网、移动Ad Hoc网络、无线传感器网络、未来互联网)、物联网、网络安全、高性能计算等。" ]
[ "朱钧宇(1987– ),男,河南周口人,博士,工业和信息化部计算机与微电子发展研究中心(中国软件评测中心)工程师,主要研究方向为车联网、自动驾驶等。" ]
[ "文少杰(1987– ),男,河南临颍人,武汉大学博士生,主要研究方向为物联网、移动Ad Hoc网络、无人机网络等。" ]
网络出版日期:2019-06,
纸质出版日期:2019-06-25
移动端阅览
范茜莹, 黄传河, 朱钧宇, 等. 无人机辅助车联网环境下干扰感知的节点接入机制[J]. 通信学报, 2019,40(6):90-101.
Xiying FAN, Chuanhe HUANG, Junyu ZHU, et al. Interference-aware node access scheme in UAV-aided VANET[J]. Journal on communications, 2019, 40(6): 90-101.
范茜莹, 黄传河, 朱钧宇, 等. 无人机辅助车联网环境下干扰感知的节点接入机制[J]. 通信学报, 2019,40(6):90-101. DOI: 10.11959/j.issn.1000-436x.2019081.
Xiying FAN, Chuanhe HUANG, Junyu ZHU, et al. Interference-aware node access scheme in UAV-aided VANET[J]. Journal on communications, 2019, 40(6): 90-101. DOI: 10.11959/j.issn.1000-436x.2019081.
在车联网中,链路频繁切换和信道干扰会导致传输时延增加及网络吞吐量下降。引入无人机与地面车辆进行协同通信,构建无人机辅助的空地一体化车联网,采用发送端自主决策的分布式策略,提出了一种干扰感知的节点接入机制。将节点接入问题形式化为一个与链路传输速率、链路切换次数和节点发射功率相关的多目标优化问题,利用对偶分解法将该问题分解为2个凸优化子问题:联合优化链路切换次数与链路传输速率和在保证链路可靠性的前提下优化节点发射功率。仿真实验表明了所提出节点接入机制可有效地改善数据传递率、平均端到端时延以及网络吞吐量。
In vehicular Ad Hoc network (VANET)
frequent link handovers and channel interference can lead to increased transmission delay and decreased network throughput.To address the issues
unmanned aerial vehicle (UAV) were introduced to cooperate with vehicles and construct UAV-assisted air-ground integrated VANET.An interference-aware node access scheme was proposed.The node access problem was formulated as a multi-objective optimization problem considering link transmission rate
link handovers and transmit power.Then the optimization problem was decomposed into two convex optimization sub-problems by dual decomposition method
the sub-problem jointly optimizes handovers and link transmission rate while the sub-problem optimizes the transmit power based on link reliability.Finally
simulation results show that the proposed mechanism can effectively improve data delivery ratio
average end-to-end delay and network throughput.
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