PPORM: A PPO-assisted packet reordering mechanism of heterogeneous VANETs for enhancing goodput and stability in fog computing

Xiaoya Zhang, Yuyang Zhang, Ping Dong, Xiaojiang Du, Chengxiao Yu, Hongke Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

Integrated Vehicular Networks (VANETs) constructed through the collaboration of various heterogeneous networks, such as 4G, 5G, satellite networks, and Unmanned Aerial Vehicle (UAV) networks, provide an effective solution to the resource constraints between vehicles and edge fog computing nodes. Reordering Buffer (RB) is crucial in concurrent data transmission between vehicles and edge fog computing nodes via heterogeneous VANETs. RB is in charge of storing out-of-order packets, waiting for packets with smaller sequence numbers, and delivering in-order packets to upper-layer applications. However, current packet reordering mechanisms are challenging in providing stable and high goodput due to the inappropriate timeout timers and uneven delivery rules. In this paper, we propose a PPO-assisted packet reordering mechanism (PPORM) to achieve optimal control of packet delivery. We first transform the goodput maximization problem into the optimal timeout threshold of RB and the optimal delivery moment of each packet. Secondly, we introduce a Proximal Policy Optimization-assisted Timeout Threshold Updating (TTU) algorithm to dynamically adjust the threshold in response to real-time changes in network conditions. Further, we present a Multifactor Smooth Delivery (MSD) algorithm to regulate the optimal queuing delay for each packet and enhance the stability of the real-time throughput as much as possible. Experimental results show that PPORM improves goodput by 6.94%∼45.57% and improves stability by 32.5%∼49.58% compared with other baseline algorithms.

Original languageEnglish
Article number100894
JournalVehicular Communications
Volume53
DOIs
StatePublished - Jun 2025

Keywords

  • Heterogeneous VANETs
  • Multipath transmission
  • PPO
  • Packet reordering
  • Vehicular networks

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