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Jiaojiao Yan

dblp:205/5477 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · unresolved

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

Computer networks · 1Applied, interdisciplinary, general and emerging computing · 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.

Theoretical computer science
1 paper
Mathematical optimization · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Mathematical optimization
fractional calculus
0.712023
Variable-order fractional derivative rutting depth prediction of asphalt pavement based on the RIOHTrack full-scale track · Sci. China Inf. Sci. 2023

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

fractional derivative modeling · 0.7
YearPublicationVenuePosition
2023 Variable-order fractional derivative rutting depth prediction of asphalt pavement based on the RIOHTrack full-scale track
Yu Wang 0182, Jiaojiao Yan, Wei Huang 0017, Leszek Rutkowski, Jinde Cao
Sci. China Inf. Sci.2
2017 LEPR: Link Stability Estimation-based Preemptive Routing protocol for Flying Ad Hoc Networks
abstract
Flying Ad Hoc Network (FANET) consisting of Unmanned Aerial Vehicles (UAVs) can undertake many tasks difficult for traditional Mobile Ad Hoc Networks (MANETs). However, the highly dynamic topology of FANET imposes difficulties for adopting existing MANET routing protocols. In this paper, we present the Link Stability Estimation-based Preemptive Routing (LEPR) protocol targeting FANET on the basis of AODV, an existing routing protocol for ad hoc networks. Taking advantage of GPS location information of UAVs, a new link stability metric is introduced for LEPR. This new metric uses the link quality, safety degree and mobility prediction factor to take into account the past, current and future statuses of link stability respectively. With this new metric, LEPR calculates multiple robust link-disjoint paths during the route discovery process. In addition, a semi-proactive route maintenance process is initiated when anticipating link breaks. This preemptive mechanism reduces the number of broken paths and packet latency by finding and switching to a more reliable path early. Simulation results demonstrate that LEPR significantly outperforms two popular routing protocols, AODV and DSR, in terms of packet delivery ratio, delay and routing overhead, whether in a high or low mobility setting.
Jiaojiao Yan
ISCC2