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Jieling Lei

dblp:422/1849 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet architecture and protocols · 62% Vehicular, aerial and satellite networks · 19% Wireless networking · 19%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet architecture and protocols
time-sensitive networking
1.012026
A Deterministic-Latency MAC Protocol for Future Automotive Ethernet · IEEE Trans. Mob. Comput. 2026
Embedded and real-time systems › automotive embedded systems
automotive ethernet
1.012026
A Deterministic-Latency MAC Protocol for Future Automotive Ethernet · IEEE Trans. Mob. Comput. 2026
Vehicular, aerial and satellite networks › vehicular networks
in-vehicle networks
0.312026
A Deterministic-Latency MAC Protocol for Future Automotive Ethernet · IEEE Trans. Mob. Comput. 2026
Wireless networking
qos
0.312026
A Deterministic-Latency MAC Protocol for Future Automotive Ethernet · IEEE Trans. Mob. Comput. 2026

Methods — techniques the papers use, named apart from their topics

simulation · 2.0priority-based scheduling · 2.0
YearPublicationVenuePosition
2026 A Deterministic-Latency MAC Protocol for Future Automotive Ethernet
abstract
Automotive Ethernet as an in-vehicle networking paradigm has gradually become the main automotive backbone network. However, with the ever-increasing time-critical in-vehicle traffic, it is being confronted with enormous challenges to realize deterministic-latency communications, due to the inherent limitations of its distributed network architecture and the adopted MAC protocols, including limited-computing power, low-speed and unreliable traffic transmission. Furthermore, it is often incompatible with emerging vehicular functions and protocols, which can provide tremendous potential for better vehicular Quality-of-Service (QoS). Therefore, in this paper, we first design a Future Automotive Ethernet (FAE) architecture and then, built on the representative Time-Sensitive Networking (TSN) and industrial summation frame, propose a Deterministic-Latency MAC (DLM) protocol running in FAE to tackle these issues. The FAE architecture includes three functional domains, three in-vehicle computing units, and no fewer than three intelligent network processing modules, which can integrate with the emerging LAN protocols to realize cross-domain and intra-domain Ethernet-based communications. Under the umbrella of this architecture, DLM classifies the driving situations into driving, reversing, left turn, right turn and parking states, following the real-world vehicle behaviors, and assigns all traffic associated with driving safety in five states different recommended priorities to be delivered. Furthermore, an optimized deterministic-latency mechanism integrated with TSN and the industrial summation frame is developed to realize the timely and accurate transmission of high-priority and medium/low-priority traffic. Simulation results obtained from diversified scenarios demonstrate that the proposed DLM running in FAE can significantly improve transmission latency determinacy and reliability compared with the existing technical strategies.
Haojun Huang, Jieling Lei, Bang Wu 0001, Geyong Min, Wang Miao
IEEE Trans. Mob. Comput.2