An Accurate IEEE 802.11 Packet Delay Model for Single-Hop UAV Networks

An accurate packet delay model for the IEEE 802.11 wireless single-hop UAV networks is proposed in this paper. Different from the majority of the existing models which assume that the network is a complete graph and any packet collision will inevitably lead to transmission failure, we consider a more practical partially connected UAV network as well as a realistic receiving model. A closed-form expression for average packet delay is derived based on Markov chain model. The effects of network size, packet generation rate and initial contention window size on average packet delay are evaluated. The simulation results verify the accuracy of our proposed analytical model.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-03-26
DOI
https://doi.org/10.1109/tvt.2025.3554551
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Accurate IEEE 802.11 Packet Delay Model for Single-Hop UAV Networks

Kai‐Kit Wong, Zihao Zhou, Jie Tang, Xiaoqi Qin et al.
IEEE Transactions on Vehicular Technology
Energy Efficient Wireless Sensor Networks
article

An Accurate IEEE 802.11 Packet Delay Model for Single-Hop UAV Networks

Kai‐Kit Wong, Zihao Zhou, Jie Tang, Xiaoqi Qin, Nan Zhao, Yayun Wei
article en

Abstract

An accurate packet delay model for the IEEE 802.11 wireless single-hop UAV networks is proposed in this paper. Different from the majority of the existing models which assume that the network is a complete graph and any packet collision will inevitably lead to transmission failure, we consider a more practical partially connected UAV network as well as a realistic receiving model. A closed-form expression for average packet delay is derived based on Markov chain model. The effects of network size, packet generation rate and initial contention window size on average packet delay are evaluated. The simulation results verify the accuracy of our proposed analytical model.

IEEE Transactions on Vehicular TechnologyVol. 74(8)
Beijing University of Posts and Telecommunications (CN), Dalian University of Technology (CN), Torrington Hospital (GB), University College London (GB), South China University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 95%
Energy Efficient Wireless Sensor Networks
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.