对于IEEE 802.11p/bd中介访问控制的新型分析模型,考虑了车辆互联网中的捕获效应
Yang Wang1, Jianghong Shi1, Zhiyuan Fang2
1School of Informatics, Xiamen University, Xiamen 361005, China.
Sensors (Basel, Switzerland)
|December 9, 2023
概括
一个新的分析模型通过准确分析IEEE 802.11bd介质访问控制 (MAC) 因素来提高车辆互联网 (IoV) 的性能. 这种增强型号为网络优化和安全应用提供了更高的准确性.
科学领域:
- 车辆通信网络 车辆通信网络
- 无线网络标准是无线网络的标准.
- 马尔科夫连锁建模的模型
背景情况:
- 汽车互联网 (IoV) 为道路安全,交通管理和自动驾驶提供了巨大的潜力.
- 由于过度简化,IEEE 802.11p/bd媒介访问控制 (MAC) 的现有分析模型缺乏准确性.
- IEEE 802.11p及其继任者IEEE 802.11bd对于车辆无线通信至关重要.
研究的目的:
- 为IOV环境中IEEE 802.11p/bd MAC协议开发一种新且准确的分析模型.
- 通过结合关键的MAC机制和通道条件来解决现有模型的局限性.
- 为车辆网络的性能评估和优化提供可靠的工具.
主要方法:
- 开发一种新的二维 (2D) 马尔科夫链模型.
- 包括关键因素:退出结,重试限制,退出后状态,差异化数据包到达和缓冲队列动态.
- 在纳卡加米-m色通道下考虑捕获效应.
主要成果:
- 对成功和碰撞传输的表达式的准确导出.
- 精确计算正常化不和吞吐量和平均数据包延迟.
- 通过与现有模型相比,通过模拟结果验证拟议模型的卓越准确性.
结论:
- 拟议的二维马尔科夫链模型为IOV中的IEEE 802.11p/bd MAC性能提供了更准确的分析框架.
- 该模型对各种因素的全面考虑导致了增强的预测能力.
- 这项工作有助于推进可靠和高效的车辆通信系统.
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