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DAPF: Delay‐aware packet forwarding for driving safety and efficiency in vehicular networks

机译：DAPF：延迟感知数据包转发，用于驱动车辆网络中的安全性和效率

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Hamayoun Shahwani; Bien Aime Mugabarigira; Yiwen Shen; Jaehoon (Paul) Jeong; Jitae Shin;
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年度 2020
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1. GeoZone: An interest-packet forwarding mechanism based on dissemination zone for content-centric vehicular networks [J] . Prates Adriano Antunes, Bastos Ian Vilar, Moraes Igor Monteiro Computers and Electrical Engineering . 2019,第期

机译：Geozone：基于以内容为中心的传播区的兴趣分组转发机制
2. A Reliable Path Selection and Packet Forwarding Routing Protocol for Vehicular Ad hoc Networks [J] . Abbasi Irshad Ahmed, Khan Adnan Shahid, Ali Shahzad Eurasip Journal on Wireless Communications and Networking . 2018,第期

机译：用于车辆临时网络的可靠路径选择和数据包转发路由协议
3. Multi-criteria Receiver Self-Election Scheme for Optimal Packet Forwarding in Vehicular Ad hoc Networks [J] . Kayhan Zrar Ghafoor, Md Asri Ngadi, Mohammad Shafie Latiff, International journal of computers, communications and control . 2014,第5期

机译：车载Ad hoc网络中最佳分组转发的多准则接收机自选方案
4. DAZL: Density-Aware Zone-based packet forwarding in vehicular networks [C] . Meireles Rui, Steenkiste Peter, Barros Joao 2012 IEEE Vehicular Networking Conference. . 2012

机译：DAZL：车载网络中基于密度感知区域的数据包转发
5. Safety Communication for Vehicular Networks: Context-Aware Congestion Control and Cooperative Multi-Hop Forwarding. [D] . Zhang, Le. 2015

机译：车载网络的安全通信：上下文感知的拥塞控制和协作式多跳转发。
6. Energy-Efficient Packet Forwarding Scheme Based on Fuzzy Decision-Making in Underwater Sensor Networks [O] . Jitander Kumar Pabani, Miguel-Ángel Luque-Nieto, Waheeduddin Hyder, 2021

机译：基于模糊决策的节能分组转发方案在水下传感器网络中的基础上
7. Protocols and applications in vehicular sensor networks for driving safety, driving efficiency, and data services [O] . Jaehoon Paul Jeong, Tae Tom Oh, Sangheon Pack, 2017

机译：用于驱动安全性，驾驶效率和数据服务的车辆传感器网络中的协议和应用
8. Multiple-Packet Forwarding Protocols for Frequency-Hop Packet Radio Networks [R] . Pursley, M. B., Russell, H. B. 1996

机译：用于跳频分组无线电网络的多分组转发协议

DAPF: Delay‐aware packet forwarding for driving safety and efficiency in vehicular networks

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